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People flow rate statistical method and system capable of precisely identifying targets

A technology of people flow and target, applied in computing, computer parts, character and pattern recognition, etc., can solve the problem of inaccurate statistics of people flow statistics scheme, and achieve the effect of broadening the scope of application, improving detection accuracy and comprehensive statistics.

Active Publication Date: 2010-10-27
HANGZHOU HIKVISION DIGITAL TECH
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Problems solved by technology

[0007] In view of this, the present invention provides a method and system for counting people flow that can accurately identify targets, so as to solve the problem of inaccurate statistics in existing people flow counting schemes

Method used

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  • People flow rate statistical method and system capable of precisely identifying targets
  • People flow rate statistical method and system capable of precisely identifying targets
  • People flow rate statistical method and system capable of precisely identifying targets

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Embodiment Construction

[0031] The present invention proposes a method for counting the flow of people that can accurately identify targets, please refer to figure 1 , is a flowchart of an embodiment of the present invention, including:

[0032] S101: Use a classifier to perform rough head detection on the current image, and perform fine screening of edge features on the rough detection result to determine each head in the current image;

[0033] S102: Track the determined heads to form a head target movement trajectory;

[0034] S103: Counting the flow of people according to the direction of the moving track of the head target.

[0035] Wherein, performing edge feature fine screening processing on the rough detection results includes: calculating the fitting degree of the rectangular inner edge feature judged by the classifier as a human head target and the preset upper half elliptical arc, if the fitting degree is greater than the threshold value, the The rectangle is determined to be a human hea...

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Abstract

The invention discloses a people flow rate statistical method and a system capable of precisely identifying targets, wherein the method comprises the following steps: adopting a classifier to carry out human head rough detection on a current image, carrying out edge feature fine screening treatment on the rough detection result, and determining all human heads in the current image; tracking all the determined human heads, and forming a motion trajectory of human head targets; and carrying out people flow rate counting in the direction of the motion trajectory of the human head targets. Therefore, edge feature is further utilized for carrying out the fine screening on the rough detection result after the rough detection, thereby obtaining the real human head targets to a greater extent, improving the human head detection precision and further improving the accuracy of statistics of people flow rate.

Description

technical field [0001] The invention relates to the technical fields of video monitoring and image processing and analysis, in particular to a method and system for counting people flow that can accurately identify targets. Background technique [0002] With the continuous progress of society, the application range of video surveillance system is getting wider and wider. Surveillance cameras are often installed at the entrances and exits of places such as supermarkets, shopping malls, gymnasiums, and airport stations, so that security personnel and managers can monitor the entrances and exits of these places. On the other hand, the flow of people entering and leaving places such as supermarkets, shopping malls, gymnasiums, and airport stations is of great significance to the operators or managers of the above places. Among them, the flow of people refers to the number of people flowing in a certain direction. Refers to the number of people flowing in both directions by ente...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/20G07C9/00
Inventor 呼志刚朱勇任烨蔡巍巍贾永华胡扬忠邬伟琪
Owner HANGZHOU HIKVISION DIGITAL TECH
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