CN114615429A - Gesture recognition method, gesture recognition system, shooting terminal, shooting system and storage medium - Google Patents
Gesture recognition method, gesture recognition system, shooting terminal, shooting system and storage medium Download PDFInfo
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- CN114615429A CN114615429A CN202210208493.2A CN202210208493A CN114615429A CN 114615429 A CN114615429 A CN 114615429A CN 202210208493 A CN202210208493 A CN 202210208493A CN 114615429 A CN114615429 A CN 114615429A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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Abstract
The invention provides a gesture recognition method, a gesture recognition system, a shooting terminal, a shooting system and a storage medium. The gesture recognition method comprises the following steps: acquiring a gesture image in current shooting data, judging whether the gesture image comprises a target tracking gesture or not, and if the gesture image comprises the target tracking gesture, taking a person making the target tracking gesture as a target tracking person; and in the subsequent picture of the current shooting data, tracking shooting is carried out by taking the target tracking person as a focus, only the target gesture made by the target tracking person is identified, the operation information corresponding to the target gesture is obtained, and the operation information is executed. The invention can effectively improve the shooting quality and efficiency and reduce the shooting cost.
Description
Technical Field
The invention relates to the field of image acquisition, in particular to a gesture recognition method and system, a shooting terminal, a shooting system and a storage medium.
Background
Along with the continuous development of intelligent terminal, intelligent terminal's shooting function is more and more extensive be applied to in people's daily life, and people also are more and more high to the requirement of the convenience that intelligent terminal controlled. At present, people can control intelligent terminal through the gesture and shoot, but under the noisy environment of people, when intelligent terminal's shooting many people, can discern the different gestures of different people, and intelligent terminal can't accurately decide which gesture of response operates, can lead to the operation confusion or mistake, can't satisfy user's demand.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a gesture recognition method, system, shooting terminal, shooting system and storage medium, which can accurately obtain user gestures and execute correct operations, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: provided is a gesture recognition method including the steps of:
acquiring a gesture image in current shooting data, judging whether the gesture image comprises a target tracking gesture or not, and if the gesture image comprises the target tracking gesture, taking a person making the target tracking gesture as a target tracking person;
and in the subsequent pictures of the current shooting data, tracking shooting is carried out by taking the target tracking person as a focus, only the target gesture made by the target tracking person is identified, the operation information corresponding to the target gesture is obtained, and the operation information is executed.
Wherein the step of identifying a target gesture made by the target-tracking person comprises:
and judging whether the target gesture comprises a track canceling gesture, and canceling track shooting with the target tracking person as a focus if the target gesture comprises the track canceling gesture.
The step of obtaining operation information corresponding to the target gesture and executing the operation information includes:
and acquiring current working mode information, acquiring mode operation information represented by the target gesture under the current working mode information, and executing the mode operation information.
Wherein the step of taking the person who has made the target tracking gesture as a target tracking person comprises:
and authenticating the identity of the person making the target tracking gesture, judging whether the person making the target tracking gesture is an authority person preset by the current camera device, and if the person making the target tracking gesture is the authority person, driving the current camera device to take the person making the target tracking gesture as a target tracking person.
After the step of determining whether the person who makes the target tracking gesture is an authority person preset by the current camera device, the method further includes:
if the person making the target tracking gesture is not the authority person, acquiring other camera devices corresponding to the person making the target tracking gesture, and driving the other camera devices to take the person making the target tracking gesture as a target tracking person.
Wherein the gesture recognition method further comprises:
and acquiring a modification instruction, and modifying the operation information corresponding to the target gesture according to the modification instruction.
The technical scheme adopted by the invention for solving the technical problems is as follows: a gesture recognition system is provided, which comprises the following modules:
the acquisition module is used for acquiring a gesture image in current shooting data, judging whether the gesture image comprises a target tracking gesture or not, and if the gesture image comprises the target tracking gesture, taking a person making the target tracking gesture as a target tracking person;
and the identification module is used for tracking and shooting by taking the target tracking person as a focus in a subsequent picture of the current shooting data, only identifying a target gesture made by the target tracking person, acquiring operation information corresponding to the target gesture and executing the operation information.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a camera terminal comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the method as described above.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a shooting system comprising at least one shooting terminal as described above and a shooting platform, the at least one shooting terminal being communicatively connected to the shooting platform.
The technical scheme adopted by the invention for solving the technical problems is as follows: there is provided a storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the method as described above.
Compared with the prior art, the method has the advantages that the person making the target tracking gesture is taken as the target tracking person, tracking shooting is carried out by taking the target tracking person as a focus in a subsequent picture of current shooting data, only the target gesture made by the target tracking person is recognized, interference caused by the fact that a plurality of persons make gestures simultaneously to a shooting device when the plurality of persons exist in a scene can be avoided, smooth shooting can be guaranteed, shooting operation can be carried out according to the requirement of the target tracking person, and shooting quality and efficiency are improved.
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The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flowchart illustrating a gesture recognition method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a gesture recognition method according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a gesture recognition method according to a third embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an embodiment of a gesture recognition system provided in the present invention;
FIG. 5 is a schematic structural diagram of an embodiment of a photographing terminal provided by the present invention;
FIG. 6 is a schematic structural diagram of an embodiment of a storage medium provided by the present invention;
fig. 7 is a schematic structural diagram of an embodiment of the photographing system provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a gesture recognition method according to a first embodiment of the present invention. The gesture recognition method provided by the invention comprises the following steps:
s101: and acquiring a gesture image in the current shooting data, and judging whether the gesture image comprises a target tracking gesture. If yes, go to step S102.
In a specific implementation scenario, current shooting data is acquired, and the current shooting data may be one acquired frame image or several continuous or discontinuous frame images. And performing gesture recognition on the shooting data. For example, a training gesture image or video corresponding to a gesture to be recognized may be input to a neural network for training, and gesture recognition may be performed on current shooting data through the trained neural network to determine whether the gesture image includes a target tracking gesture.
In one implementation scenario, the current shooting data is obtained by shooting a person, and then the gesture image of the person is directly obtained and whether the gesture is the target gesture image is identified. In another implementation scenario, multiple persons are included in the current shot data. Different gestures which may be made by any person during shooting need to be acquired, and whether the gesture images include the target tracking gesture or not is judged.
S102: taking the person making the target tracking gesture as a target tracking person, performing tracking shooting by taking the target tracking person as a focus in a subsequent picture of current shooting data, only identifying the target gesture made by the target tracking person, acquiring operation information corresponding to the target gesture, and executing the operation information.
In a specific implementation scenario, a person who makes a target tracking gesture is taken as a target tracking person, and person characteristics, such as facial characteristics, clothing characteristics, position characteristics and the like, of the target tracking person are recorded so as to perform focusing and tracking shooting on the target tracking person, and the shooting device can automatically follow the movement of the target tracking person to perform at least one operation of focusing, steering and moving.
After the target tracking person is determined, only the target gesture made by the target tracking person is recognized, and the gestures made by other persons in the acquired current shooting data and the subsequent shooting data are ignored. On the one hand, the calculation amount can be reduced, resources are saved, the processing efficiency is improved, on the other hand, different gestures can be effectively prevented from being made by multiple people, and the shooting equipment is in a disordered recognition and response state and cannot work normally.
In an implementation scene, it is the scene of a speech at present, need carry out video recording or live broadcast to the speech of the speaker, then before the speech begins, the speaker makes the target tracking gesture, shooting device can discern the target tracking gesture, and will make the speaker of target tracking gesture as the target tracking personage, focus and track the shooting to the speaker, thereby when the speaker is carrying out the speech, shooting device can automatic tracking speaker, effectively promoted the shooting effect, need not artifical the tracking, reduce and shoot the cost. The speaker can make target gestures according to the shooting requirements, such as controlling a mute switch, a volume condition, controlling a noise reduction switch and the like. Therefore, the shooting can be controlled by the speaker during shooting, and the shooting requirements required by the speaker can be better matched. The problem that shooting cannot be normally carried out due to the fact that other people make gestures to interfere the shooting device in the shooting scene of multiple people can be effectively avoided.
In other implementation scenarios, when the target gesture is obtained, the current working mode information is obtained at the same time, and the working mode information includes information such as the current shooting mode of the shooting device, time, place, and information that can be collected by a sensor (e.g., light intensity, temperature, humidity, etc.). And acquiring the mode operation information represented by the target gesture under the current working mode information, and executing the mode operation information. For example, the target gesture a is operation information for turning on the noise reduction function in the a-mode, and operation information for turning on the mute function in the b-mode. And acquiring the current working mode information, if the current working mode information is in an a mode, turning on a noise reduction function, and if the current working mode information is in a b mode, turning on a mute function.
In other implementation scenarios, the user may also modify the operation information corresponding to the target gesture according to the modification instruction by inputting the modification instruction. For example, the original operation information corresponding to the target gesture B is to start recording, obtain a modification instruction, and modify the operation information corresponding to the target gesture B to terminate recording according to the modification instruction.
As can be seen from the above description, in this embodiment, the person who makes the target tracking gesture is taken as the target tracking person, in the subsequent picture of the current shooting data, the target tracking person is taken as the focus to perform tracking shooting, and only the target gesture made by the target tracking person is recognized, so that when a plurality of persons exist in the scene, the plurality of persons make gestures at the same time to interfere with the shooting device, thereby ensuring smooth shooting, performing shooting operation according to the requirement of the target tracking person, and improving the quality and efficiency of shooting.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a gesture recognition method according to a second embodiment of the present invention. The gesture recognition method provided by the invention comprises the following steps:
s201: and acquiring a gesture image in the current shooting data, and judging whether the gesture image comprises a target tracking gesture. If yes, go to step S202.
S202: taking the person making the target tracking gesture as a target tracking person, performing tracking shooting by taking the target tracking person as a focus in a subsequent picture of current shooting data, only identifying the target gesture made by the target tracking person, acquiring operation information corresponding to the target gesture, and executing the operation information.
S203: and judging whether the target gesture comprises a track canceling gesture, if so, executing the step S204.
In a specific implementation scenario, after the target tracking character is acquired, a target gesture made by the target tracking character is acquired, the target gesture is compared with a preset track canceling gesture, and whether the current target gesture includes the track canceling gesture is determined.
S204: the tracking shot with the target tracking person as the focus is cancelled.
In a specific implementation scenario, the target gesture includes a cancel tracking gesture, and then tracking shooting with the target tracking person as a focus is cancelled. Step S201 and subsequent steps are re-executed.
In an implementation scene, the current scene is a speech, the speech of the speaker needs to be recorded or live broadcast, before the speech starts, the speaker makes a target tracking gesture, the shooting device can recognize the target tracking gesture, the speaker making the target tracking gesture serves as a target tracking person, and focusing, tracking and shooting are performed on the speaker. After the speech is finished, probably need to carry out the interdynamic with spectator, then the speaker makes and cancels the pursuit gesture, and the shooting device no longer focuses on and tracks the shooting to the speaker. At the moment, the audience who interacts with the speaker can make a target tracking gesture, the shooting device can focus and track and shoot the audience, after the audience finishes speaking, the shooting device can make a gesture of canceling tracking, and the shooting device does not focus and track and shoot the audience any more. The speaker can make the target tracking gesture again, and the shooting device can focus and track the shooting to the speaker again. Need not the manual work like this and adjust shooting device, shooting device can find the personage that needs focus and track the shooting automatically, and effectual shooting quality and the shooting efficiency of having promoted have reduced the shooting cost.
In other implementation scenarios, if the track canceling gesture is not received within the preset time length, the track shooting with the target tracking person as the focus is cancelled. For example, when the speaker interacts with the audience, and after the audience finishes speaking, the tracking cancellation gesture is not performed, the shooting device continues to focus and track the audience, and does not receive the target tracking gesture performed by other audiences or the speaker, which will cause that the speaker and other audiences cannot be shot. Therefore, within the preset time length, the track-canceling gesture cannot be received, and the track shooting with the target tracking person as the focus is still cancelled. Thus, the speaker and other viewers can perform the target tracking gesture to serve as a new target tracking person, and the shooting can be continued.
Further, whether or not to cancel the tracking shot focusing on the target tracking person can be determined by combining the acquired gesture and the detected sound source direction. For example, when the speaker interacts with the audience, after the audience finishes speaking, the track canceling gesture is not made, the track canceling gesture cannot be received within a preset time, and the sound source direction at the moment is the direction of the speaker or other audiences, so that the tracking shooting taking the target tracking person as the focus is cancelled. Thus, the speaker and other viewers can perform the target tracking gesture to serve as a new target tracking person, and the shooting can be continued.
It can be known through the above description that whether the target gesture includes the cancellation tracking gesture is judged in this embodiment, if the target gesture includes the cancellation tracking gesture, then cancel the tracking shooting that goes on with the target tracking personage as the focus, can make the shooting device reacquire target tracking gesture and target tracking personage, can be in a flexible way switch between a plurality of target tracking personages and need not artifical the regulation, effectively promoted shooting quality and shooting efficiency, reduced the shooting cost.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a gesture recognition method according to a third embodiment of the present invention. The gesture recognition method provided by the invention comprises the following steps:
s301: and acquiring a gesture image in the current shooting data, and judging whether the gesture image comprises a target tracking gesture.
In a specific implementation scenario, step S301 is substantially the same as step S101 in the first embodiment of the gesture recognition method provided by the present invention, and details are not repeated here.
S302: and authenticating the identity of the person who makes the target tracking gesture, judging whether the person who makes the target tracking gesture is the authority person preset by the current camera device, and if so, executing the step S303. If not, go to step S304.
In a specific implementation scenario, multiple image capturing devices may capture a scene, and in order to avoid capturing repeated content or missing images, an authority person is set for each image capturing device. And when the target tracking gesture is judged to exist, performing identity authentication on the person making the target tracking gesture, and judging whether the person making the target tracking gesture is an authority person preset by the current camera device. The identification and verification of the person making the target tracking gesture may be accomplished by face recognition, voiceprint recognition, apparel recognition, or wearing special wireless devices, such as bluetooth, infrared, etc. devices that may broadcast/transmit information wirelessly.
S303: and driving the current camera to take the person making the target tracking gesture as a target tracking person.
In a specific implementation scenario, if the person making the target tracking gesture is an authority person preset by the current camera, the current camera is driven to use the person making the target tracking gesture as the target tracking person. Specific contents may refer to step S102 in the first embodiment of the gesture recognition method provided by the present invention and S202 to S204 in the second embodiment of the gesture recognition method provided by the present invention, which are not described herein again.
S304: and acquiring other camera devices corresponding to the person making the target tracking gesture, and driving the other camera devices to take the person making the target tracking gesture as the target tracking person.
In a specific implementation scenario, if the person making the target tracking gesture is not an authorized person preset by the current camera, the person making the target tracking gesture may be reported to the platform, for example, the person making the target tracking gesture may be reported to the platform by using facial features, voiceprint features, clothing features, or identification information sent by a special wireless device (e.g., bluetooth or infrared device capable of wirelessly broadcasting/transmitting information), and the platform obtains other camera devices corresponding to the person making the target tracking gesture according to the received person making the target tracking gesture and the authorized person corresponding to each camera device, and drives the other camera devices to use the person making the target tracking gesture as the target tracking person. Specific contents of driving other image capturing devices to operate may refer to step S102 in the first embodiment of the gesture recognition method provided by the present invention and S202 to S204 in the second embodiment of the gesture recognition method provided by the present invention, which are not described herein again.
In other implementation scenarios, after the target tracking gesture is acquired, the person who makes the target tracking gesture is uploaded to the platform, and the person who makes the target tracking gesture is acquired by the platform and is the authority person corresponding to the shooting device, so that the shooting device is driven to take the person who makes the target tracking gesture as the target tracking person.
In other implementation scenarios, after the target tracking gesture is acquired, the person who makes the target tracking gesture may be uploaded to the platform, the platform determines whether the person who makes the target tracking gesture is an authorized person corresponding to the shooting device which uploads the person, and if yes, the shooting device is driven to take the person who makes the target tracking gesture as the target tracking person. If not, the information is ignored and no feedback is made.
In an implementation scene, need shoot the video that the mr gave the student and attend a class, need shoot mr and student's camera lens simultaneously, for example mr student's feedback when the explanation, and student's quantity is more, and a shooting device can't compromise whole student, so set up a plurality of shooting devices simultaneously, shoot mr and student respectively. The teacher a makes a target tracking gesture a, the shooting device A which is responsible for shooting the teacher recognizes the target tracking gesture, facial features of the teacher a are recognized, the teacher a is judged to be the authority figure of the shooting device A, and then the shooting device A takes the teacher as a focus to conduct tracking shooting. When the photographing device B2 in charge of photographing the student B2 recognizes that the student B1 has performed the target tracking gesture B, recognizes the face of the student B1, and determines that the student B1 is an authorized person of the photographing device B1, it notifies and drives the photographing device B1 to perform tracking photographing with the student B1 as the focus.
In other implementation scenarios, priorities can be arranged for the authority characters, and if two characters which are acquired from the same shooting data and are both authority characters of the shooting device make target tracking gestures, the target tracking gestures made by the authority characters with higher priorities are responded.
As can be seen from the above description, in this embodiment, the person who makes the target tracking gesture is authenticated, if the person who makes the target tracking gesture is an authorized person, the current camera is driven to use the person who makes the target tracking gesture as the target tracking person, if the person who makes the target tracking gesture is not an authorized person, another camera corresponding to the person who makes the target tracking gesture is obtained, and another camera is driven to use the person who makes the target tracking gesture as the target tracking person.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a gesture recognition system according to an embodiment of the present invention. The gesture recognition system 10 includes an acquisition module 11 and a recognition module 12.
The obtaining module 11 is configured to obtain a gesture image in the current shooting data, determine whether the gesture image includes a target tracking gesture, and if the gesture image includes the target tracking gesture, use a person who makes the target tracking gesture as a target tracking person. The recognition module 12 is configured to perform tracking shooting with the target tracking person as a focus in a subsequent picture of the current shooting data, recognize only a target gesture made by the target tracking person, acquire operation information corresponding to the target gesture, and execute the operation information.
The recognition module 12 is configured to determine whether the target gesture includes a track canceling gesture, and cancel track shooting performed with the target-tracked person as a focus if the target gesture includes the track canceling gesture.
The recognition module 12 is configured to obtain current working mode information, obtain mode operation information represented by the target gesture in the current working mode information, and execute the mode operation information.
The obtaining module 11 is configured to perform identity authentication on the person who makes the target tracking gesture, determine whether the person who makes the target tracking gesture is an authority person preset by the current image capturing device, and drive the current image capturing device to use the person who makes the target tracking gesture as the target tracking person if the person who makes the target tracking gesture is the authority person.
The acquisition module 11 is configured to, if the person who makes the target tracking gesture is not an authorized person, acquire another image capturing device corresponding to the person who makes the target tracking gesture, and drive the other image capturing device to use the person who makes the target tracking gesture as the target tracking person.
The obtaining module 11 is configured to obtain a modification instruction, and modify operation information corresponding to the target gesture according to the modification instruction.
As can be seen from the above description, in this embodiment, the person who makes the target tracking gesture is taken as the target tracking person, in the subsequent picture of the current shooting data, the target tracking person is taken as the focus to perform tracking shooting, and only the target gesture made by the target tracking person is recognized, so that when a plurality of persons exist in the scene, the plurality of persons make gestures at the same time to interfere with the shooting device, thereby ensuring smooth shooting, performing shooting operation according to the requirement of the target tracking person, and improving the quality and efficiency of shooting.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a shooting terminal according to the present invention. The photographing terminal 20 includes a processor 21 and a memory 22. The processor 21 is coupled to a memory 22. The memory 22 has stored therein a computer program which is executed by the processor 21 in operation to implement the method as shown in fig. 1-3. The detailed methods can be referred to above and are not described herein.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a storage medium according to an embodiment of the present invention. The storage medium 30 stores at least one computer program 31, and the computer program 31 is used for being executed by a processor to implement the method shown in fig. 1-3, and the detailed method can be referred to above and is not described herein again. In one embodiment, the storage medium 30 may be a memory chip in a terminal, a hard disk, or a removable hard disk or a flash disk, an optical disk, or other readable and writable storage tool, and may also be a server or the like.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a photographing system according to an embodiment of the present invention. The photographing system 40 includes at least one photographing terminal 41 and a platform 42, and the platform 42 may exist independently of the at least one photographing terminal 41 or may be installed in one or more photographing terminals 41. The photographing terminal 41 is the photographing terminal shown in fig. 5.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus (Rambus) direct RAM (RDRAM), direct bused dynamic RAM (DRDRAM), and bused dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims. Please enter the implementation content part.
Claims (10)
1. A gesture recognition method is characterized by comprising the following steps:
acquiring a gesture image in current shooting data, judging whether the gesture image comprises a target tracking gesture or not, and if the gesture image comprises the target tracking gesture, taking a person making the target tracking gesture as a target tracking person;
and tracking and shooting by taking the target tracking person as a focus in a subsequent picture of the current shooting data, only identifying a target gesture made by the target tracking person, acquiring operation information corresponding to the target gesture, and executing the operation information.
2. The gesture recognition method of claim 1, wherein the step of recognizing the target gesture made by the target-tracking person comprises:
and judging whether the target gesture comprises a track canceling gesture, and canceling track shooting with the target tracking person as a focus if the target gesture comprises the track canceling gesture.
3. The gesture recognition method according to claim 1, wherein the step of acquiring operation information corresponding to the target gesture and executing the operation information includes:
and acquiring current working mode information, acquiring mode operation information represented by the target gesture under the current working mode information, and executing the mode operation information.
4. The gesture recognition method according to claim 1, wherein the step of regarding the person who made the target-tracking gesture as a target-tracking person comprises:
and authenticating the identity of the person making the target tracking gesture, judging whether the person making the target tracking gesture is an authority person preset by the current camera device, and if the person making the target tracking gesture is the authority person, driving the current camera device to take the person making the target tracking gesture as a target tracking person.
5. The gesture recognition method according to claim 4, wherein after the step of determining whether the person making the target tracking gesture is an authorized person preset by a current camera, the method further comprises:
if the person making the target tracking gesture is not the authority person, acquiring other camera devices corresponding to the person making the target tracking gesture, and driving the other camera devices to take the person making the target tracking gesture as a target tracking person.
6. The gesture recognition method according to claim 1, further comprising:
and acquiring a modification instruction, and modifying the operation information corresponding to the target gesture according to the modification instruction.
7. A gesture recognition system, comprising:
the acquisition module is used for acquiring a gesture image in current shooting data, judging whether the gesture image comprises a target tracking gesture or not, and if the gesture image comprises the target tracking gesture, taking a person making the target tracking gesture as a target tracking person;
and the identification module is used for tracking and shooting by taking the target tracking person as a focus in a subsequent picture of the current shooting data, only identifying a target gesture made by the target tracking person, acquiring operation information corresponding to the target gesture and executing the operation information.
8. A photographing terminal comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to any of claims 1 to 6.
9. A camera system, characterized in that it comprises at least one camera terminal according to claim 8 and a camera platform, said at least one camera terminal being communicatively connected to said camera platform.
10. A storage medium, characterized in that a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 6.
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| CN (1) | CN114615429A (en) |
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