Abnormal human behavior detecting method based on video sequence

A technology of video sequence and detection method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of not being able to extract behavioral features well and poor recognition rate, so as to improve effectiveness and reduce workload , the effect of improving safety

Inactive Publication Date: 2013-06-12
DONGHUA UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide an effective detection method based on human abnormal behavior in video sequences, which can also be used to monitor abnormal behavior in publi

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  • Abnormal human behavior detecting method based on video sequence
  • Abnormal human behavior detecting method based on video sequence
  • Abnormal human behavior detecting method based on video sequence

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Embodiment Construction

[0031] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0032] The minimum hardware configuration required by the method of the present invention: a 512M memory computer; a camera or a monitor with a minimum resolution of 320*240; a video capture card with a frame rate of 25 frames / s.

[0033] figure 1 A flow chart based on human abnormal behavior detection in video sequences is given. The flow chart mainly includes three modules: 1. Foreground extraction module. The main function of this module is to extract moving human body. 2. Feature selection and extraction module. The function of this module is to extract the motion features and local features of the moving human body, and to fuse the local features and motion features. At the same time, this module also plays a role in dimensionality reduction. 3. Behavior detection module. The function of this module is to classify and identi...

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Abstract

The invention discloses an abnormal human behavior detecting method based on a video sequence. The abnormal human behavior detecting method based on the video sequence comprises the following steps of; firstly, carrying out movement target detection on a video image sequence acquired by a camera; secondly, extracting movement characteristics of a human movement region, and carrying out characteristic dimension reduction on the movement region by using nonnegative matrix decomposition to obtain local characteristics of the movement target; thirdly, fusing the movement characteristics with the local characteristics to obtain the characteristic vectors of the movement behaviors; and finally, identifying and classifying the movement behaviors by adopting an SVM (Support Vector Machine) multi-class classifier based on a voting algorithm and judging identified behaviors of a movement target. According to the abnormal human behavior detecting method based on the video sequence disclosed by the invention, a plurality of characteristics are fused while the dimensions are reduced, and the respective recognition performances are improved. The abnormal human behavior detecting method based on the video sequence is applied to the intelligent video monitoring and capable of judging the abnormal behaviors by automatically analyzing the behaviors of the moving body in the public place, so that the computer can assist the people to complete the monitoring task and can complete the monitoring task in place of the people.

Description

technical field [0001] The invention relates to a method for detecting abnormal behavior of a human body based on a video sequence, which belongs to the technical fields of image processing and computer vision, and in particular relates to a method for detecting abnormal behavior in a video. Background technique [0002] Intelligent monitoring technology is an important application field of computer vision. It has great research and development and application value in both military and civilian applications. Intelligent visual monitoring technology is mainly used in occasions that are sensitive to security requirements, such as ATM machines, banks, Stores, parking lots, airports, government buildings, military bases, docks, etc. However, most of the existing video surveillance systems only detect or track moving objects in the scene, and seldom perform further processing. The purpose of monitoring in daily life is to detect and analyze abnormal events or abnormal behaviors ...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 纪青华禹素萍曹新学张盛汉
Owner DONGHUA UNIV
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