Face detection method of bayonet picture based on color difference
A face detection and picture person technology, which is applied in the field of bayonet picture face detection based on color difference, can solve problems such as multiple redundant calculations, and achieve the effects of reducing the face detection area, improving efficiency, and improving accuracy
Active Publication Date: 2017-07-21
广州烽火众智数字技术有限公司
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[0006] The Adaboost face detection algorithm based on Haar-like features, compared with the previous face detection algorithms, the AdaBoost algorithm has higher detection accuracy and rapidity, but in terms of its algorithm principle, there are more redundant calculations, and it has Potential to further improve real-time performance
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[0029] Below in conjunction with accompanying drawing and embodiment describe in detail:
[0030] 1. Face detection device
[0031] 1. Intelligent network camera (with DSP image sensor)
[0032] Such as figure 1 , the intelligent network camera A includes an image sequence acquisition unit, an image video coding storage unit and an image sequence intelligent analysis unit connected in sequence;
[0033] The image sequence acquisition unit is composed of LENS optical lens 1, image sensor 2, signal acquisition converter 3, FPGA programmable logic processor 5 and HV signal driver 4, LENS optical lens 1, image sensor 2, signal acquisition converter 3, FPGA The programmable logic processor 5, the HV signal driver 4 and the image sensor 2 are sequentially connected to realize the image acquisition function;
[0034] The image video encoding storage unit is composed of FPGA programmable logic processor 5, H264 video encoder 6 and central processor 8 connected in sequence to realiz...
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The invention discloses a face detection method of a bayonet picture based on color difference, belonging to the technical field of intelligent traffic management and bayonet monitoring. The method includes: a. obtaining picture data from a bayonet monitoring system; b. detecting the car window on the picture to obtain a rectangular area of the car window; c. performing color difference transformation on the picture data in the car window; d. using eight The neighborhood search algorithm searches the binary image data of skin color and removes small and subtle areas; e. Performs face detection on the image data in the car window; f. Outputs the face detection results. Compared with the traditional detection method, the present invention has the following advantages and positive effects: (1) shortens the face detection time; (2) improves the accuracy of the face detection; (3) has the real-time and stability.
Description
technical field [0001] The invention belongs to the technical field of intelligent traffic management and bayonet monitoring, and in particular relates to a face detection method of bayonet pictures based on color difference. Background technique [0002] With the rapid development of our country's national economy, urban road construction and motor vehicle ownership are increasing rapidly, which has also brought enormous pressure to the management of government traffic control departments. Faced with the increasing number of road criminal and public security cases in recent years, as well as problems such as hit and run, stolen vehicles and illegal driving of motor vehicles, the traffic control department urgently needs to apply the latest intelligent management system to modern urban traffic management. The public security checkpoint monitoring system has effectively alleviated the problems of urban traffic jams and illegal driving, and greatly improved the actual combat a...
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IPC IPC(8): G06K9/00G06K9/62
Inventor 袁静张仁辉陆辉
Owner 广州烽火众智数字技术有限公司