CN111681458A - Tactical training system and data interaction method - Google Patents
Tactical training system and data interaction method Download PDFInfo
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Abstract
The invention discloses a tactical training system and a data interaction method, and belongs to the technical field of simulated tactical training. The tactical training system comprises: a projection cloth, a camera, a projector and a computer system; the computer system is used for acquiring the training subjects and sending the training contents corresponding to the training subjects to the projector; the projector is used for projecting the training content sent by the computer system on the projection cloth; the camera is used for shooting an image to be recognized, which is trained by a trainer according to the training content displayed on the projection cloth, and sending the image to be recognized to the computer system; the computer system is also used for identifying the image to be identified sent by the camera and acquiring the identification result, so that tactical training is not limited by logistics, geographic environment and other factors, the feasibility of the tactical training is improved, the tactical training cost is reduced, and the identification efficiency and the identification accuracy are improved.
Description
Technical Field
The invention belongs to the technical field of simulated tactical training, and particularly relates to a tactical training system and a data interaction method.
Background
Tactical training refers to the training of tactical principles and combat methods from individual soldiers, teams to tactical teams. The tactical training is divided into military species and military tactical training, service troops and team professional tactical training and contract tactical training according to tactical properties; according to the training level, army is divided into individual soldier (single cannon, single car) tactics, team tactics and officer, and group contract tactics training, sea and air force are divided into single warship (boat), single tactics, formation tactics and contract tactics training; dividing the training into plain, hilly land, mountain land, river, plateau, coast, island, water net rice field, city, Gobi, desert, tropical mountain and forest land and other tactics training according to the terrain characteristics. However, the traditional tactical training method is limited by logistics organization work, geographic distribution of military and other resource limitations, and cannot provide real and effective battlefield environment simulation, and military exercises are difficult to become a conventional training mode due to high cost.
Disclosure of Invention
The invention provides a tactical training system and a data interaction method, which aim to solve the problems that tactical training is limited by environmental factors, cannot realize frequent planning and is high in cost in the prior art.
The technical solution of the invention is as follows:
a tactical training system, comprising: a projection cloth, a camera, a projector and a computer system;
the computer system is used for acquiring training subjects and sending training contents corresponding to the training subjects to the projector;
the projector is used for projecting the training content sent by the computer system on a projection cloth;
the camera is used for shooting an image to be recognized, which is trained by a trainer according to the training content displayed on the projection cloth, and sending the image to be recognized to the computer system;
the computer system is also used for identifying the image to be identified sent by the camera and acquiring an identification result.
A tactical training data interaction method is realized based on the tactical training system, and comprises the following steps executed by a computer system:
the system comprises a projector, a training subject acquisition module, a training content acquisition module and a training content acquisition module, wherein the training subject acquisition module is used for acquiring training subjects and sending training contents corresponding to the training subjects to the projector for projection;
acquiring training content sent by a camera and projected based on the projector, and shooting an image to be identified;
and identifying the image to be identified to obtain an identification result.
Compared with the prior art, the invention has the beneficial effects that:
1. the computer system obtains the training subjects and sends the training contents corresponding to the training subjects to the projector, the projector projects the training contents sent by the computer system on the projection cloth, training personnel correspondingly train according to the training contents displayed on the projection cloth, the camera shoots images to be recognized of the training personnel and sends the images to be recognized to the computer system, and the computer system recognizes the images to be recognized and obtains recognition results, so that tactical training is not limited by factors such as logistics, geographic environment and the like, the feasibility of tactical training is improved, and the tactical training cost is reduced.
2. The computer system is used for identifying the image to be identified and acquiring the corresponding identification result, so that the identification efficiency is improved, and the accuracy of judgment of the identification result is increased.
Drawings
Fig. 1 is a schematic structural diagram of a tactical training system of the present invention.
In the drawings, the components represented by the respective reference numerals are listed below:
1. the device comprises a projection cloth 2, a camera 3, a projector 4, a computer system 5, an infrared laser gun 6, an infrared laser source 7, a reflective band 8 and a shelter.
Fig. 2 is a flowchart of a tactical training data interaction method according to an embodiment of the present invention, and as shown in fig. 2, the tactical training data interaction method includes the following steps performed by the computer system 4:
s10: and acquiring a training subject, and sending training contents corresponding to the training subject to the projector 3 for projection.
S20: and acquiring the training content sent by the camera 2 and based on the projection of the projector 3, and shooting the image to be recognized.
S30: and identifying the image to be identified to obtain an identification result.
Detailed Description
Those skilled in the art will appreciate that those matters not described in detail in the present specification are well known in the art.
In an embodiment, fig. 1 shows a system block diagram of a tactical training system provided by an embodiment of the present invention, and as shown in fig. 1, the tactical training system includes: a projection cloth 1, a camera 2, a projector 3 and a computer system 4.
And the computer system 4 is used for acquiring the training subjects and sending the training contents corresponding to the training subjects to the projector 3.
Wherein, the training subjects refer to subjects for tactical training. The training subjects in this embodiment include a shooting training subject and a hidden training subject. The shooting training subjects refer to subjects for training the shooting level of the trainee, such as fixed targets, swing targets, moving targets, Z-shaped targets, and the like. The hidden training subjects are subjects used for training the concealment of training personnel, are very important in the actual combat training subjects and are one of essential training subjects, and the actual combat training subjects in the embodiment may be simulated hunting, urban anti-terrorism, interesting shooting, indoor and outdoor confrontation, on-road and offshore pursuit shooting and the like.
The training content refers to content corresponding to a training subject, for example, the training content corresponding to a fixed target is a target.
And a projector 3 for projecting the training content sent by the computer system 4 on the projection cloth 1.
Specifically, the projector 3 acquires the training content transmitted from the computer system 4, and then projects the training content on the corresponding projection cloth 1. The projector 5 in the embodiment adopts a 1920 x 1080 resolution, and the DLP chip reaches an industrial high-definition projector of 5300 lumens, so that the projection is clearer. The projection cloth 1 adopts a white plastic curtain with uniform reflection characteristics, and the surface of the curtain on the surface of the curtain has the characteristics of cleanability, moisture resistance, mildew resistance, flame retardance, no peculiar smell, wide viewing angle and the like. The size is 180 inches 4:3(3.6m × 2.7m), and training content released by the projector is completely displayed.
And the camera 2 is used for shooting an image to be recognized, which is trained by a trainer according to the training content displayed on the projection cloth 1, and sending the image to be recognized to the computer system 4.
The image to be recognized refers to an image of training content executed by a training person shot by a camera. The camera in the embodiment adopts an industrial high-definition camera, the resolution of a single industrial high-definition camera reaches 3088 × 2064, 60FPS, the resolution of a lens reaches 600 ten thousand pixels, and the image or video acquisition of a user in training on site can be captured in an all-round wide-angle and low-delay manner, so that the acquired image to be identified is more complete and clear, and the accuracy of a subsequent training result is improved. In order to absorb infrared light with a specific wavelength, filter out other external light, and simultaneously maintain the brightness of the infrared laser spot in the image to be trained to the maximum extent, in the embodiment, a filter is installed at the lens of the camera and is used for absorbing infrared light with a specific wavelength.
The computer system 4 is further configured to identify the image to be identified sent by the camera 2, and acquire an identification result.
Because the specific requirements for recognizing the images to be recognized by each training subject are different, one training subject corresponds to one image recognition algorithm in the embodiment. The image recognition algorithm refers to an algorithm for recognizing an image to be recognized.
Specifically, after acquiring the image to be recognized sent by the camera 2, the computer system 4 selects an image recognition algorithm corresponding to the training subject according to the training subject to recognize the image to be recognized, so as to acquire a recognition result.
In an embodiment, the training subjects acquired by the computer system may be shooting training subjects or hidden training subjects, tactical training procedures corresponding to different training subjects are different, related devices required to be used are different, and image recognition algorithms for recognizing the images to be recognized are different. If the training subject is a shooting training subject, the tactical training system further comprises an infrared laser gun 5, as shown in fig. 1.
If the training subject acquired by the computer system 4 is a shooting training subject, shooting training content is acquired based on the shooting training subject and is sent to the projector 3.
Wherein, the shooting training content refers to a target object corresponding to the shooting training subject.
And the projector 3 is used for projecting the shooting training contents sent by the computer system 4 on the projection cloth 1.
And the infrared laser gun 5 is used for training personnel to shoot according to the shooting training contents displayed on the projection cloth 1.
Specifically, after the projector 3 projects the shooting training contents onto the projection cloth 1, the trainee shoots the shooting training contents on the projection cloth through the infrared laser gun 5.
And the camera 2 is used for shooting images to be recognized of shooting performed by training personnel according to the shooting training contents displayed on the projection cloth 1 and sending the images to be recognized to the computer system 4.
Wherein, shooting the image to be identified refers to shooting the image of the infrared laser point on the projection cloth by a trainer who shoots by the camera holding the infrared laser gun according to the shooting training content.
And the computer system 4 is further configured to identify the shooting to-be-identified image sent by the camera 2, and acquire a shooting identification result.
And shooting the result obtained after the image to be recognized is recognized according to the shooting recognition result. The shot recognition results include hits and misses.
Specifically, after acquiring the image to be recognized of the shot sent by the industrial camera 2, the computer system 4 recognizes the image to be recognized of the shot to determine whether the infrared laser point in the image to be recognized of the shot hits the target object. When the infrared laser spot hits the target object, the shooting recognition result is hit; when the infrared laser point does not hit the target object, the shooting recognition result is no hit.
Preferably, the computer system 4 is further configured to identify the image to be identified for shooting sent by the camera 2, and obtain a shooting identification result, and specifically includes:
and the shooting image to be recognized acquisition module is used for acquiring the shooting image to be recognized sent by the camera 2.
And the shooting image preprocessing module is used for preprocessing the image to be recognized during shooting to obtain a shooting effective image.
Specifically, after acquiring the image to be recognized of the shot transmitted by the camera 2, the computer system 4 performs preprocessing such as graying, range standardization, binarization, filtering, distortion correction and the like on the image to be recognized of the shot, and acquires a shooting effective image. The shooting effective image refers to a shooting image to be identified after preprocessing. The shooting image to be recognized is preprocessed, so that the subsequent data processing amount is reduced, and the processing efficiency is improved.
And the infrared pixel point coordinate acquisition module is used for acquiring the infrared pixel point coordinates of the infrared pixel points in the shooting effective image through the gun calibration image coordinate system.
And the gun calibration image coordinate system obtains an image coordinate system according to the acquired gun calibration image. The gun calibration image refers to an image which is obtained by shooting the projection cloth with four infrared points by a camera, wherein the four infrared points are arranged at four corners of the projection cloth in advance.
Specifically, after shooting a gun calibration image, the camera sends the gun calibration image to the computer, and the computer performs storage according to the acquired gun calibration image and a gun calibration image coordinate system corresponding to the gun calibration image. After the computer acquires the shooting effective image, the same coordinate system is established for the shooting effective image according to the gun calibration image coordinate system so as to acquire the infrared pixel point coordinates of the infrared pixel points in the shooting effective image.
The shooting effective image is established in the coordinate system with the same gun calibration image coordinate system, so that the gun calibration image and the shooting effective image are ensured to be in the same coordinate system, the obtained infrared pixel point coordinates can be understood as coordinates obtained based on the gun calibration image coordinate system, and the shooting identification result can be conveniently obtained according to the infrared pixel point coordinates subsequently.
And the shooting recognition result acquisition module is used for judging the infrared pixel point coordinates through a target point hit rate algorithm to acquire a shooting recognition result.
Wherein, the target hit rate algorithm is indicatedAnd calculating whether the coordinates of the infrared pixel points hit the target points. Specifically, after the infrared pixel point coordinates are obtained, whether the infrared pixel point coordinates are in a target point hit range corresponding to the target point coordinates is judged. If the infrared pixel point coordinate is in the target point hit range corresponding to the target point coordinate, the infrared pixel point is hit on the target point, and the corresponding shooting recognition result is hit; and if the infrared pixel point coordinate is not in the target point hit range corresponding to the target point coordinate, the infrared pixel point coordinate does not hit the target point, and the corresponding shooting recognition result is not hit. The target point coordinate refers to a coordinate corresponding to the target point in the gun calibration image. The target hit range refers to a target hit coordinate range obtained according to a target and a preset hit standard. If the coordinates of the target point are (u)0,v0) If the preset hit range is (Δ u, Δ v), the target hit range is (u)0±Δu,v0±Δv)。
Preferably, the infrared pixel coordinate acquisition module comprises a gun calibration image coordinate system acquisition unit and an infrared pixel coordinate acquisition unit.
And the gun calibration image coordinate system acquisition unit is used for acquiring a gun calibration image coordinate system sent by the camera.
Specifically, the computer acquires a gun calibration image, that is, an image coordinate system of the gun calibration image is acquired. The image coordinate system refers to a direct coordinate system u-v which takes the upper left corner of the image as an origin and takes the pixel as a unit.
And the infrared pixel point coordinate acquisition unit is used for establishing an effective coordinate system for the shooting effective image based on the gun calibration image coordinate system and acquiring the infrared pixel point coordinate corresponding to the infrared pixel point in the shooting effective image.
Specifically, since the acquired shooting effective image and the gun calibration image are both images of the same projection cloth taken by the same camera at the same angle, the shooting effective image and the gun calibration image are two images having the same size and shape. After the gun calibration image coordinate system is obtained, the same coordinate system, namely an effective coordinate system, can be established by shooting the effective image based on the gun calibration image coordinate system of the gun calibration image. After the effective coordinate system is established, coordinates of infrared pixel points in the shooting effective image in the effective coordinate system, namely infrared pixel point coordinates, are obtained, so that whether the target points are hit or not is judged according to the infrared pixel point coordinates.
Preferably, the shooting recognition result obtaining module includes a target hit range obtaining unit, a first shooting recognition result obtaining unit, and a second shooting recognition result obtaining unit.
And the target point hit range acquiring unit is used for acquiring a target point hit range corresponding to the target point coordinate based on the target point coordinate.
Specifically, after the target point is obtained, the computer obtains the target point hit range corresponding to the target point coordinate according to the target point coordinate. The target hit range can be specifically set according to the actual situation, and when the hit rate needs to be improved, the target hit range can be set to be larger; when the hit rate needs to be reduced, the hit range of the target can be set smaller.
And the first shooting recognition result acquisition unit is used for acquiring a hit shooting recognition result if the infrared pixel point coordinates are within the target point hit range.
And the second shooting recognition result acquisition unit is used for acquiring a shooting recognition result which is not hit if the infrared pixel point coordinates are not in the target point hit range.
In one embodiment, if the training subject is a hidden training subject, as shown in fig. 1, the tactical training system further comprises an infrared laser source 6, a reflective band 7, and a shelter 8.
If the training subject acquired by the computer system 4 is a hidden training subject, hidden training content is acquired based on the hidden training subject and is sent to the projector 3.
The hidden training content is a training scene corresponding to the hidden training subject.
And a projector 3 for projecting the hidden training content sent by the computer system 4 on the projection cloth 1.
And the infrared laser source 6 is used for emitting infrared laser to detect the hidden state of the training personnel.
The infrared laser source 6 in this embodiment adopts a multi-wavelength array laser, and can simultaneously output 3-4 infrared beams with different laser wavelengths, wherein the main range of the laser wavelengths is 760 mm-1400 nm, and the laser wavelengths are specific wavelengths corresponding to 760nm, 850nm and 940 nm. The multi-wavelength array laser works when being electrified, and the wavelength of the emitted light beam can be controlled by a computer system. In the hiding training process, the position and the hiding state of a training person are detected through an infrared light source.
And the reflective belt 7 is used for reflecting the infrared laser emitted by the infrared laser source 6, and is worn on the body of the training personnel.
The reflective tape refers to a device for reflecting infrared laser, and includes, but is not limited to, reflective braid, reflective cloth, reflective strip, etc.
And the shelter 8 is used for sheltering training personnel and sheltering the infrared laser emitted by the infrared laser source 6.
Specifically, when the trainee performs the hidden training subject, in order to avoid the infrared laser from striking the trainee as much as possible, the trainee needs to be shielded by a shelter.
And the camera 2 is used for shooting a hidden image to be recognized, which is hidden by a trainer according to the hidden training content displayed on the projection cloth 1, and sending the hidden image to the computer system 4.
The hidden image to be recognized refers to an image of infrared laser reflected by a reflective belt worn on a training person when the training person shot by the camera trains according to hidden training contents.
The computer system 4 is further configured to identify the hidden to-be-identified image sent by the camera 2, and acquire a hidden identification result.
The hidden identification result refers to a result obtained after the hidden image to be identified is identified. The hidden identification result comprises a standard reaching and a non-standard reaching.
Specifically, after acquiring the hidden to-be-identified image, the computer system identifies the hidden to-be-identified image, acquires the number of infrared pixel points to be identified, and compares the number of the infrared pixel points to be identified with the number of preset infrared pixel points to acquire a hidden identification result. The number of the infrared pixel points to be identified refers to the number of the infrared pixel points in the hidden image to be identified. The preset number of the infrared pixels refers to the preset number of the infrared pixels used for judging whether the trainee hides. When the number of the infrared pixel points to be identified exceeds the preset number of the infrared pixel points, the training personnel is not well hidden, the requirement is not met, and the corresponding hidden identification result does not reach the standard; when the number of the infrared pixel points to be recognized does not exceed the number of the preset infrared pixel points, the training personnel is shown to be well hidden, the requirement is met, the corresponding hidden recognition result reaches the standard, the image to be recognized is recognized through the steps, and the recognition efficiency and the accuracy are improved.
Preferably, the computer system 4 is further configured to identify the hidden to-be-identified image sent by the camera 2, and acquire a hidden identification result, and specifically includes:
and the hidden image to be recognized acquisition module is used for acquiring the hidden image to be recognized sent by the camera 2.
And the hidden image preprocessing module is used for preprocessing the hidden image to be identified to obtain a hidden effective image.
Specifically, after acquiring the hidden to-be-recognized image sent by the camera 2, the computer system 4 performs preprocessing such as graying, range standardization, binarization, filtering, distortion correction and the like on the hidden to-be-recognized image, so as to acquire a hidden effective image. The hidden effective image refers to a hidden image to be recognized after preprocessing. The hidden image to be identified is preprocessed, so that the subsequent data processing amount is reduced, and the processing efficiency is improved.
And the hidden image identification module is used for identifying the infrared pixel points in the hidden effective image and acquiring the number of the infrared pixel points to be identified.
In this embodiment, the method for identifying the infrared pixel points in the hidden effective image includes, but is not limited to, a FAST feature point detection algorithm.
And the hidden identification result acquisition module is used for comparing the number of the infrared pixel points to be identified with the number of the preset infrared pixel points to acquire a hidden identification result.
Preferably, the hidden recognition result obtaining module includes a first hidden recognition result unit and a second hidden recognition result unit.
And the first hidden identification result unit is used for determining that the obtained hidden identification result does not reach the standard if the number of the infrared pixel points to be identified exceeds the preset number of the infrared pixel points.
And the second hidden identification result unit is used for determining that the obtained hidden identification result reaches the standard if the number of the infrared pixel points to be identified does not exceed the preset number of the infrared pixel points.
Preferably, the hidden image preprocessing module comprises a graying processing unit, a standardization processing unit, a binarization processing unit and an effective image acquisition unit.
And the graying processing unit is used for performing graying processing on the hidden image to be identified to acquire a grayscale image.
The gray image refers to an image obtained by hiding an image to be identified and carrying out gray processing.
And the standardization processing unit is used for carrying out range standardization processing on the pixel matrix corresponding to the gray level image to obtain a range image.
The range image refers to an image of a gray-scale image subjected to range standardization processing. The standard treatment formula of range difference is
x is the pixel of the gray scale image before normalization, x' is the pixel of the range image after normalization, MminIs the smallest pixel in the pixel matrix M corresponding to the gray-scale image, MmaxIs the largest pixel in the pixel matrix M corresponding to the grayscale image.
The range normalization process is a process of compressing data to be within the range of (0, 1). The pixel matrix corresponding to the gray image is subjected to the price difference standardization processing and multiplied by 255, so that the data in the pixel matrix can be conveniently processed, and the mutual relation of all pixels in the pixel matrix is kept.
And the binarization processing unit is used for carrying out binarization processing on the range image to obtain a binarization processing image.
The binarization processing image is an image obtained by performing binarization processing on the extreme difference image. Specifically, after the range image is acquired, the process of comparing the sampled pixels based on the range image with a pre-selected threshold, setting the pixels with the sampling values greater than or equal to the threshold as 1, and setting the pixels with the sampling values less than the threshold as 0. In this embodiment, 0 represents a background pixel, and 1 represents a target pixel (infrared dot pixel). The threshold value can be obtained by calculating the inter-class variance of the range image, and can also be obtained according to an empirical value. The size of the threshold value can affect the effect of the extremely poor image binarization processing, if the threshold value is properly selected, the effect of the extremely poor image binarization processing is better, and correspondingly, if the threshold value is not properly selected, the effect of the extremely poor image binarization processing is affected. For convenience of operation, the threshold value in the present embodiment is determined based on an empirical value, which simplifies the calculation process.
And the effective image acquisition unit is used for filtering the binaryzation processing image, and carrying out distortion correction processing on the filtered binaryzation processing image to acquire a hidden effective image.
In the embodiment, filtering the binarized image actually means filtering the binarized image, that is, suppressing noise of the target image under the condition of keeping detailed features of the image as much as possible, and improving effectiveness and reliability of subsequent image processing and analysis.
When the camera shoots an image, the intrinsic characteristics of the lens inevitably cause image distortion, and the imaging quality is affected. Therefore, after filtering the binarized image, it is necessary to perform distortion correction processing on the filtered binarized image. The distortion correction processing in the present embodiment includes, but is not limited to, an image distortion correction function in OpenCv.
In an embodiment, fig. 2 is a flowchart of a tactical training data interaction method according to an embodiment of the present invention, and as shown in fig. 2, the tactical training data interaction method includes the following steps performed by the computer system 4:
s10: and acquiring a training subject, and sending training contents corresponding to the training subject to the projector 3 for projection.
S20: and acquiring the training content sent by the camera 2 and based on the projection of the projector 3, and shooting the image to be recognized.
S30: and identifying the image to be identified to obtain an identification result.
Specifically, a user inputs a training subject at a computer terminal and sends the training subject to a computer system, the computer system obtains training content corresponding to the training subject according to the training subject after obtaining the training subject and sends the training content to a projector, and the projector projects the training content, so that tactical training is not limited by factors such as logistics, geographic environment and the like, the feasibility of tactical training is improved, and the tactical training cost is reduced. Training personnel train according to the projection content, the camera shoots images to be recognized of the training personnel and sends the images to be recognized to the computer system, and the computer system obtains a corresponding image recognition algorithm according to the training subjects and recognizes the images to be recognized, so that a recognition result is obtained, and the recognition efficiency and the accuracy are improved.
Those skilled in the art will appreciate that those matters not described in detail in the present specification are well known in the art.
Claims (10)
1. A tactical training system, comprising: the system comprises a projection cloth (1), a camera (2), a projector (3) and a computer system (4);
the computer system (4) is used for acquiring training subjects and sending training contents corresponding to the training subjects to the projector (3);
the projector (3) is used for projecting the training content sent by the computer system (4) on a projection cloth (1);
the camera (2) is used for shooting images to be recognized, which are trained by training personnel according to the training content displayed on the projection cloth (1), and sending the images to be recognized to the computer system (4);
the computer system (4) is also used for identifying the image to be identified sent by the camera (2) and acquiring an identification result.
2. The tactical training system of claim 1, further comprising an infrared laser gun (5);
if the training subjects acquired by the computer system (4) are shooting training subjects, acquiring shooting training contents based on the shooting training subjects and sending the shooting training contents to the projector (3);
the projector (3) is used for projecting shooting training contents sent by the computer system (4) on a projection cloth (1);
the infrared laser gun (5) is used for training personnel to shoot according to shooting training contents displayed on the projection cloth (1);
the camera (2) is used for shooting images to be identified for shooting by training personnel according to shooting training contents displayed on the projection cloth (1) and sending the images to be identified to the computer system (4);
the computer system (4) is also used for identifying the image to be identified for shooting sent by the camera (2) and acquiring a shooting identification result.
3. The tactical training system of claim 2, wherein said computer system (4) is further configured to recognize the shot to be recognized image transmitted by said camera (2) and obtain the shot recognition result, and comprises:
the shooting to-be-identified image acquisition module is used for acquiring the shooting to-be-identified image sent by the camera (2);
the shooting image preprocessing module is used for preprocessing the image to be recognized for shooting to obtain a shooting effective image;
the infrared pixel point coordinate acquisition module is used for acquiring the infrared pixel point coordinates of the infrared pixel points in the shooting effective image through a gun calibration image coordinate system;
and the shooting recognition result acquisition module is used for judging the infrared pixel point coordinates through a target point hit rate algorithm to acquire a shooting recognition result.
4. The tactical training system of claim 3, wherein said infrared pixel coordinate acquisition module comprises:
the camera comprises a camera shooting unit, a gun calibrating image coordinate system acquiring unit and a camera shooting unit, wherein the camera shooting unit is used for shooting a camera shooting;
and the infrared pixel point coordinate acquisition unit is used for establishing an effective coordinate system for the shooting effective image based on the gun calibration image coordinate system and acquiring the infrared pixel point coordinate corresponding to the infrared pixel point in the shooting effective image.
5. The tactical training system of claim 3, wherein said shot recognition result acquisition module comprises:
a target point hit range obtaining unit, configured to obtain a target point hit range corresponding to the target point coordinate based on the target point coordinate;
the first shooting recognition result obtaining unit is used for obtaining a hit shooting recognition result if the infrared pixel point coordinates are within the target point hit range;
and the second shooting recognition result acquisition unit is used for acquiring a shooting recognition result which is not hit if the infrared pixel point coordinates are not in the target point hit range.
6. The tactical training system of claim 1, further comprising an infrared laser source (6), a reflective tape (7), and a shelter (8);
if the training subjects acquired by the computer system (4) are hidden training subjects, acquiring hidden training contents based on the hidden training subjects and sending the hidden training contents to the projector (3);
the projector (3) is used for projecting hidden training contents sent by the computer system (4) on a projection cloth (1);
the infrared laser source (6) is used for emitting infrared laser to detect the hidden state of the training personnel;
the reflective belt (7) is used for reflecting infrared laser emitted by the infrared laser source (6), and is worn on the body of a training person;
the shelter (8) is used for sheltering training personnel and shielding infrared laser emitted by the infrared laser source (6);
the camera (2) is used for shooting a hidden image to be recognized, which is hidden by a trainer according to hidden training content displayed on the projection cloth (1), and sending the hidden image to the computer system (4);
the computer system (4) is also used for identifying the hidden image to be identified sent by the camera (2) and acquiring a hidden identification result.
7. The tactical training system of claim 6, wherein the computer system (4) is further configured to recognize the hidden image to be recognized sent by the camera (2) and obtain a hidden recognition result, and comprises:
the hidden image to be recognized acquisition module is used for acquiring a hidden image to be recognized sent by the camera (2);
the hidden image preprocessing module is used for preprocessing the hidden image to be identified to obtain a hidden effective image;
the hidden image identification module is used for identifying infrared pixel points in the hidden effective image and acquiring the number of the infrared pixel points to be identified;
and the hidden identification result acquisition module is used for comparing the number of the infrared pixel points to be identified with the number of preset infrared pixel points to acquire a hidden identification result.
8. The tactical training system of claim 7, wherein said hidden identification acquisition module comprises:
the first hidden identification result unit is used for judging that the obtained training result does not reach the standard if the number of the infrared pixel points to be identified exceeds the preset number of the infrared pixel points;
and the second hidden identification result unit is used for acquiring the training result which reaches the standard if the number of the infrared pixel points to be identified does not exceed the preset number of the infrared pixel points.
9. The tactical training system of claim 7, wherein said hidden image preprocessing module comprises:
the graying processing unit is used for performing graying processing on the hidden image to be identified to obtain a grayscale image;
the standardization processing unit is used for carrying out range standardization processing on the pixel matrix corresponding to the gray level image to obtain a range image;
a binarization processing unit, configured to perform binarization processing on the range difference image to obtain a binarization-processed image;
and the effective image acquisition unit is used for filtering the binaryzation processing image, and carrying out distortion correction processing on the filtered binaryzation processing image to acquire a hidden effective image.
10. A tactical training data interaction method, implemented on the basis of the tactical training system of any of claims 1 to 9, comprising the following steps performed by the computer system (4):
acquiring training subjects, and sending training contents corresponding to the training subjects to a projector (3) for projection;
acquiring training contents sent by a camera (2) and projected by the projector (3), and shooting images to be recognized;
and identifying the image to be identified to obtain an identification result.
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