CN113160574A - Image processing method for traffic monitoring and dual-mode bayonet camera system - Google Patents
Image processing method for traffic monitoring and dual-mode bayonet camera system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 239000002131 composite material Substances 0.000 claims abstract description 7
- 238000005286 illumination Methods 0.000 claims abstract description 3
- 230000006399 behavior Effects 0.000 description 8
- 239000013589 supplement Substances 0.000 description 7
- 238000007499 fusion processing Methods 0.000 description 3
- 238000000862 absorption spectrum Methods 0.000 description 2
- 238000004880 explosion Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004313 glare Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B15/00—Special procedures for taking photographs; Apparatus therefor
- G03B15/02—Illuminating scene
- G03B15/03—Combinations of cameras with lighting apparatus; Flash units
- G03B15/05—Combinations of cameras with electronic flash apparatus; Electronic flash units
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/08—Detecting or categorising vehicles
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Abstract
The invention relates to the technical field of video processing, in particular to an image processing method for traffic monitoring and a dual-mode bayonet camera system, wherein the system comprises the following steps: a first camera, a second camera, and an image processing subsystem, wherein: an infrared filter is arranged in front of an image sensor of the first camera; the second camera is a low-illumination camera; the image processing subsystem is configured to: acquiring images captured by a first camera and a second camera; processing the acquired image and outputting a composite image superposed with vehicle information, personnel information and judgment result information; the first camera and the second camera have the same resolution, focal length and field angle lenses; the first camera and the second camera are both electrically connected to the image processing subsystem. The invention provides an image processing method for traffic monitoring and a dual-mode bayonet camera system, which solve the problem that the existing bayonet camera is difficult to provide color license plates and vehicle information.
Description
Technical Field
The invention relates to the technical field of video processing, in particular to an image processing method for traffic monitoring and a dual-mode bayonet camera system.
Background
Currently, most bayonet cameras are visible light-based, because infrared light, although having the ability to suppress glare, does not provide clear license plate information and color vehicle information. The bayonet camera mainly using visible light wave band has two kinds of common LED light supplement lamp and low light camera. The ordinary LED fill light bayonet camera has strong light pollution and strong interference of strong light at noon, and can not see through the vehicle for 24 hours; the low-light-level camera solves the problem of light pollution, but cannot realize the 24-hour perspective of the vehicle.
Disclosure of Invention
The invention provides an image processing method for traffic monitoring and a dual-mode checkpoint camera system, which are used for solving the problem that the existing checkpoint camera is difficult to provide color license plates and vehicle information.
The technical scheme for solving the problems is as follows: a dual-mode bayonet camera system for traffic monitoring comprises a first camera, a second camera and an image processing subsystem, wherein:
an infrared filter is arranged in front of the image sensor of the first camera;
the second camera is a low-illumination camera, and a visible filter is arranged in front of an image sensor of the second camera;
the image processing subsystem is configured to: acquiring images captured by a first camera and a second camera; processing the acquired image and outputting a composite image superposed with vehicle information, personnel information and judgment result information;
the first camera and the second camera have the same resolution, focal length and field angle lenses; the first camera and the second camera are both electrically connected with the image processing subsystem.
Preferably, an infrared fill-in light is mounted on the first camera.
Preferably, an LED fill-in light is mounted on the second camera;
preferably, the infrared filter is a 940nm filter.
Preferably, the infrared light supplement lamp has a flashing mode.
Preferably, the pixels of the first camera and the second camera are each 900 ten thousand pixels.
In another aspect, the present invention further provides an image processing method for traffic monitoring, including the following steps:
receiving images captured by a first camera and a second camera; wherein: the image shot by the first camera is a black-and-white image, and the image shot by the second camera is a color image;
fusing the black-and-white image and the color image to obtain a composite image;
recognizing face information in the black-and-white image and vehicle information in the color image, wherein the vehicle information comprises information of a license plate and a vehicle type;
judging whether the behavior characteristics of the personnel in the black-and-white image are matched with preset behavior characteristics or not;
and overlapping the recognized vehicle information, the recognized face information and the recognized judgment result information to the synthetic image and outputting the synthetic image.
Preferably, the recognizing the face information in the black-and-white image specifically includes:
extracting a face area and coordinates from a black-and-white image;
and transmitting the coordinates and the black-and-white image to an identification library for identification and outputting an identification result.
Preferably, the preset behavior is a driving violation behavior.
Compared with the prior art, the invention has the beneficial effects that: the invention utilizes the dual-mode bayonet camera of the infrared camera and the low-light-level camera to realize the capability of providing clear face information and vehicle information of the driver and the co-driver for 24 hours all day. The dual-mode bayonet camera system comprises a high-speed low-light and infrared camera, an infrared light supplement lamp irradiation device and an LED light supplement lamp, can realize the perspective of a front windshield vehicle film by utilizing the optical characteristics of laser and video fusion processing, has the detection and identification capability on vehicles and drivers in all weather for 24 hours, and can be applied to the traffic fields of real-time snapshot of highways, important traffic frontier defense bayonet vehicle investigation, one-helmet one-band investigation and the like. The system can be deployed at a traffic intersection, when a vehicle runs to a snapshot area, the system is triggered to snapshot, a snapshot picture is processed and analyzed, a face area and coordinates are extracted, the coordinates and the picture are transmitted to a background recognition library, and face recognition is carried out on a driver and a copilot.
Drawings
Fig. 1 is an image output by the image processing method of the present invention.
Fig. 2 is a theoretical diagram of the atmospheric absorption spectrum model.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention.
Example 1: the dual-mode bayonet camera system comprises an image processing subsystem, a low-light-level camera, an infrared light supplement lamp with an explosion flashing mode and an LED light supplement lamp.
The infrared camera is used for capturing black and white images when the vehicle runs to the capturing area, and an infrared filter installed in the infrared camera is a 940nm filter;
the low-light-level camera is used for capturing a color image when the vehicle runs to the capturing area;
the image processing subsystem is configured to: acquiring images captured by an infrared camera and a low-light-level camera; processing the acquired image and outputting a composite image superposed with vehicle information, personnel information and judgment result information;
the infrared camera and the low-light camera have the same resolution, focal length and field angle lens. The infrared camera and the low-light camera are both electrically connected with the image processing subsystem.
The pixels of the infrared camera and the low-light camera are 900 ten thousand pixels. An appropriate waveband is selected, so that the filmed front windshield can be seen through under strong light interference, the influence of white light can be reduced as much as possible, according to the atmospheric absorption spectrum model theory shown in fig. 2, it can be seen that an absorption band can be seen in a 940nm waveband, 940nm light intensity in the daytime is selected in the waveband, infrared light supplementary lighting is performed in the 940nm waveband, the transparent front windshield under the strong light interference in the daytime can be restrained, and 940nm is an infrared waveband and cannot be seen.
Example 2: an image processing method for traffic monitoring comprises the following steps
Step 1: selecting two cameras with the same 900 ten thousand pixels and arranging lenses with the same focal length and field angle;
step 2: two optical filters are arranged for the two cameras, wherein the wavelength of 940nm is the wavelength of visible light;
step 3: an infrared light supplement lamp capable of supporting an explosion flash mode is installed on one camera provided with a 940nm infrared filter;
step 4: carrying out image fusion processing on the snap-shot images of the low-light camera and the infrared camera to obtain a synthetic image;
step 5: processing the color image of the low-light-level camera, and analyzing information such as the license plate and the model of the vehicle;
step 6: processing a black-and-white image of the infrared camera, identifying face information in the black-and-white image and judging whether behavior characteristics of personnel in the black-and-white image are matched with preset behavior characteristics or not;
step 7: superposing the processing results of the low-light-level camera and the infrared camera to the synthesized image;
step 8: the output image is spliced by two color and black-and-white images, and vehicle information, driver information, co-driver information and traffic violation information are superposed.
As a preferred embodiment of the present invention: the preset behavior characteristics comprise behaviors of driving a car to make a call, playing a mobile phone, not fastening a safety belt and the like.
As a preferred embodiment of the present invention: analyzing the face information in the black-and-white image specifically includes:
extracting a face area and coordinates from a black-and-white image;
and transmitting the coordinates and the black-and-white image to an identification library for identification and outputting an identification result.
As a preferred embodiment of the present invention: the specific implementation mode of performing image fusion processing on the captured images of the low-light-level camera and the infrared camera in the step4 to obtain a synthetic image is as follows: the deviation value is measured and calculated by a software algorithm, fitting is carried out, a composite image of the micro light and the infrared light is output, and vehicle information, personnel information, traffic violation information and the like can be displayed.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent flow transformations made by using the contents of the specification and the drawings, or applied directly or indirectly to other related systems, are included in the scope of the present invention.
Claims (9)
1. A dual-mode bayonet camera system for traffic monitoring is characterized by comprising a first camera, a second camera and an image processing subsystem, wherein:
an infrared filter is arranged in front of the image sensor of the first camera;
the second camera is a low-illumination camera, and a visible filter is arranged in front of an image sensor of the second camera;
the image processing subsystem is configured to: acquiring images captured by a first camera and a second camera; processing the acquired image and outputting a composite image superposed with vehicle information, personnel information and judgment result information;
the first camera and the second camera have the same resolution, focal length and field angle lenses; the first camera and the second camera are both electrically connected with the image processing subsystem.
2. The dual-mode bayonet camera system for traffic monitoring as claimed in claim 1, wherein an infrared fill-in light is installed on the first camera.
3. The dual-mode bayonet camera system for traffic monitoring as claimed in claim 2, wherein the second camera is provided with an LED fill-in light.
4. The dual-mode bayonet camera system for traffic monitoring as claimed in claim 3, wherein the infrared filter is a 940nm filter.
5. The dual-mode bayonet camera system for traffic monitoring as claimed in claim 4, wherein the infrared fill light has a flashing mode.
6. The dual-mode bayonet camera system for traffic monitoring as claimed in claim 5, wherein the pixels of the first camera and the second camera are 900 ten thousand pixels each.
7. An image processing method for traffic monitoring, characterized by comprising the steps of:
receiving images captured by a first camera and a second camera; wherein: the image shot by the first camera is a black-and-white image, and the image shot by the second camera is a color image;
fusing the black-and-white image and the color image to obtain a composite image;
recognizing face information in the black-and-white image and vehicle information in the color image, wherein the vehicle information comprises information of a license plate and a vehicle type;
judging whether the behavior characteristics of the personnel in the black-and-white image are matched with preset behavior characteristics or not;
and overlapping the recognized vehicle information, the recognized face information and the recognized judgment result information to the synthetic image and outputting the synthetic image.
8. The image processing method for traffic monitoring according to claim 7, wherein recognizing the face information in the black-and-white image specifically comprises:
extracting a face area and coordinates from a black-and-white image;
and transmitting the coordinates and the black-and-white image to an identification library for identification and outputting an identification result.
9. The image processing method for traffic monitoring according to claim 8, wherein the preset behavior is a driving violation behavior.
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Cited By (1)
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| CN114299724A (en) * | 2021-12-28 | 2022-04-08 | 航天科工智慧产业发展有限公司 | Dual-mode perspective bayonet laser all-in-one machine |
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2021
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