Pedestrian target movement track acquisition method and system based on multiple cameras

A pedestrian target and moving trajectory technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low analysis efficiency and inability to locate the actual position of pedestrian targets, and achieve the effect of reducing hardware resource costs and time costs

Inactive Publication Date: 2019-10-25
CHENGDU UNION BIG DATA TECH CO LTD
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a multi-camera-based acquisition method and system for pedestrian target moving trajectories in real and complex scenes, which can solve the current problems of low efficiency in calculation and analysis of pedestrian target tracking and the inability to locate the actual position of pedestrian targets

Method used

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  • Pedestrian target movement track acquisition method and system based on multiple cameras
  • Pedestrian target movement track acquisition method and system based on multiple cameras
  • Pedestrian target movement track acquisition method and system based on multiple cameras

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Embodiment 1

[0043] Please refer to figure 1 , the present invention provides a multi-camera-based pedestrian target moving track acquisition method, the method comprising:

[0044]In complex scenes, such as open street communities, large shopping malls, campuses and other complex places, including corners, upper and lower floors, occlusion, camera blank areas and other spaces, and places using more than hundreds of cameras. Use multiple cameras to shoot moving videos of pedestrian targets from multiple angles within a period of time, and use a frame-taking algorithm to intercept and mark rectangular frame images in the video to obtain training sample sets and test sample sets;

[0045] Calibrate the main internal and external parameters of the camera, including the focal length, viewing angle, resolution, height, and spatial coordinates of the camera. The calibration data is obtained by shooting the calibration plate with the camera, and the distortion coefficient is calculated based on t...

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Abstract

The invention discloses a pedestrian target movement track acquisition method and system based on multiple cameras. The method comprises the following steps: acquiring a video through calibrated cameras, and preprocessing the video to obtain a training sample set and a test sample set; constructing, training and testing a deep convolutional neural network model; matching the feature vector and theimage coordinate of the pedestrian target output by the model, converting the image coordinate into a space coordinate, and connecting the space coordinate of the pedestrian target in series according to the time sequence list to obtain a moving track of the pedestrian target under the single camera; in combination with calibration external parameters, realizing pedestrian target cross-camera association through feature matching and overlapping region position information, and connecting spatial coordinates of multiple pedestrian targets under multiple cameras in series to form a multi-pedestrian target moving track. According to the invention, the two-dimensional image coordinates of the pedestrian target are converted into the space coordinates in the actual scene, so that the positionand track of the pedestrian target can be accurately obtained; the accuracy of pedestrian target recognition and track acquisition is improved by using multi-angle video fusion analysis.

Description

technical field [0001] The present invention relates to the field of video monitoring and analysis, in particular to a multi-camera-based method and system for acquiring moving tracks of pedestrian targets. Background technique [0002] At present, video surveillance technology is very popular and has been applied to security prevention and control, work inspection, violation monitoring, etc. Common application scenarios include streets, shopping malls, schools, retail stores, offices, Internet cafes, etc. [0003] With the continuous upgrading of computer hardware equipment, the computing speed has been greatly improved, the price of video surveillance cameras is getting lower and lower, and the quality of video images is getting higher and higher. Algorithms such as target detection and recognition are more applicable in the field of video surveillance. This application can be extremely Minimize the cost of manual screening, shorten the target monitoring time, and greatly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/80
CPCG06T7/251G06T7/80G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30196
Inventor 不公告发明人
Owner CHENGDU UNION BIG DATA TECH CO LTD
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