Pedestrian head-shoulder detection and appearance capturing method based on main and subsidiary cameras

A technology of head and shoulder detection and master camera, which is applied in the field of pedestrian head and shoulder detection and appearance capture based on master and slave cameras, which can solve the problems of high false detection rate and dead zone

Inactive Publication Date: 2018-01-12
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

[0003] The purpose of the present invention is to provide a pedestrian head and shoulder detection and appearance capture method based on the master-slave camera, build a master-slave camera system, use a self-made calibration board to calibrate the linkage between the master-slave cameras, and use the improved ViBe algorithm to realize the scene. The detect

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  • Pedestrian head-shoulder detection and appearance capturing method based on main and subsidiary cameras
  • Pedestrian head-shoulder detection and appearance capturing method based on main and subsidiary cameras
  • Pedestrian head-shoulder detection and appearance capturing method based on main and subsidiary cameras

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Embodiment Construction

[0029] A kind of pedestrian head and shoulder detection and appearance capture method based on master-slave camera of the present invention, adopt such as Figure 4 The flow shown is to realize the detection of the head and shoulders of pedestrians and the capture of their appearance. The specific implementation steps are as follows:

[0030] 1) Linkage calibration between the master and slave cameras, the specific steps of the linkage calibration algorithm are as follows:

[0031] (a) Assuming that the coordinate origin of the panoramic image whose width and height are W and H respectively is located in the upper left corner of the image, divide the image into M equal parts along the x-axis direction and N equal parts along the y-axis direction, so that Divide the panoramic image into M×N grids.

[0032] (b) Number each grid, number the grid whose upper left corner coordinates are (0,0) coordinates as 1, and assign the upper left corner coordinates to The grid number of is...

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Abstract

The invention discloses a pedestrian head-shoulder detection and appearance capturing method based on main and subsidiary cameras. A main and subsidiary camera system is constructed, a self-made calibration board is utilized to calibrate the linkage between the main and subsidiary cameras, an improved ViBe algorithm is adopted to detect a moving object area in a scene, the problem of dead zones occurring in a traditional ViBe algorithm is solved, a pedestrian head-shoulder detection algorithm based on two stages is adopted to detect the head and shoulders of a pedestrian of the moving target area, and the problem that a traditional head-shoulder detection algorithm is high in false detection rate is solved. The pedestrian head-shoulder detection and appearance capturing method has the advantages that the moving pedestrian in the monitoring area can be detected in real time, and the distinct appearance of the moving pedestrian is obtained.

Description

technical field [0001] The invention relates to a pedestrian head and shoulder detection and appearance capture method based on a master-slave camera, and belongs to an improved method for a moving target detection algorithm and a pedestrian head and shoulder detection algorithm. Background technique [0002] During the construction of the "Safe City Project", video surveillance in public areas is becoming more and more important. The widespread application of video surveillance systems has brought great help to the criminal investigation work of the public security system, and it can even be said that it has changed the way the public security system handles cases. For example, the "Zhou Kehua armed robbery case" that was successfully solved in 2012 was solved by using a large number of surveillance videos of the crime scene for analysis and detection. Nowadays, public places such as schools, supermarkets, and stations have installed a large number of monitoring camera equ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/215G06T7/80H04N7/18
Inventor 刘燕德曾体伟胡军韦宝泉陈洞滨欧阳爱国
Owner EAST CHINA JIAOTONG UNIVERSITY
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