Target tracking algorithm based on movement behavior analysis

A target tracking and behavior analysis technology, applied in the field of computer vision, can solve the problems of unable to automatically identify and monitor the target behavior, false negatives, false positives, etc.

Active Publication Date: 2013-05-29
PCI TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a target tracking algorithm based on motion behavior analysis for the existing video surveillance system, which cannot automatically identify the monitoring target behavior, and is difficult to automatically track, resulting in false positives and missed negatives.

Method used

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  • Target tracking algorithm based on movement behavior analysis
  • Target tracking algorithm based on movement behavior analysis
  • Target tracking algorithm based on movement behavior analysis

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Embodiment Construction

[0065] This section makes a detailed description of the specific flow of the algorithm of the present invention.

[0066] The input data source of the present invention is the decoded video data stream, and the format of the frame image is required to be RGB.

[0067] The output result is the target sequence. All position sequences of a target from entering the scene to leaving the scene form a target unit. The target sequence refers to the sequence of the target unit. The position of the target in a specific frame is defined as the target bit, and the target bit constitutes the target unit. . See attached image 3 Target definition shown.

[0068] The end mark is that the read frame image of the processed video data reaches the end.

[0069] 1. The algorithm flow of the target unit information extraction module:

[0070] The first step is to obtain an image, if the end of the video is obtained, then jump to the sixth point, otherwise continue;

[0071] The second step is...

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Abstract

The invention provides a target tracking algorithm based on movement behavior analysis and is applied to intelligent security. According to the method, a movement target in video image can be effectively correctly detected and tracked and movement direction and corresponding location of the target can be acquired so that intelligent video monitoring and intelligent judgment can be achieved. According to the method, firstly a two-value foreground image is acquired through instantaneous frame difference method and the movement target is extracted through the largest connected region and convex hull treatment of the foreground image. Secondly the movement target is tracked through the largest area method based on statistical analysis and feedback correction of tracking result is performed based on behavior analysis so that the most precise movement target tracking result is acquired.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a target tracking algorithm based on motion behavior analysis, and the application of the method in intelligent security. Background technique [0002] Intelligent video surveillance is based on digital and networked video surveillance, but it is different from general networked video surveillance. It is a higher-end video surveillance application. Smart video surveillance systems are able to identify different objects. Find abnormalities in the monitoring screen, and can issue alarms and provide useful information in the fastest and best way, so as to assist security personnel to deal with crises more effectively, and minimize false positives and false positives. The moving target detection and tracking technology in intelligent video surveillance is the key technology to realize this link. At present, the commonly used moving target detection methods are frame difference method...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T7/40G06T7/00
Inventor冯琰一李子岩汪刚
OwnerPCI TECH GRP CO LTD