Motion direction based abnormal behavior detection method in monitoring video

A technology for monitoring video and motion direction, which is applied in the field of image processing and can solve the problems of no efficient method, complex extraction and calculation, and small amount of calculation.

Inactive Publication Date: 2017-09-19
NANJING UNIV OF POSTS & TELECOMM +1
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The detection method based on human motion features achieves high accuracy by extracting the motion features of the foreground target, but the motion features of the target are not easy to extract and the calculation is complicated; the detection method based on the moti

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  • Motion direction based abnormal behavior detection method in monitoring video
  • Motion direction based abnormal behavior detection method in monitoring video
  • Motion direction based abnormal behavior detection method in monitoring video

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Embodiment Construction

[0048] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0049] In specific implementation, figure 1 It is a flow of an abnormal behavior detection method based on a motion direction in a surveillance video. First, the user inputs 3 original video frames and 1 background video frame, where the original video frame is taken from the video frame of the surveillance video, the time interval is 0.5 seconds, the background video frame is the video frame of the background of the surveillance video, each video frame It consists of k pixels.

[0050] The background subtraction method can quickly and accurately obtain the area covering the video background by comparing the difference between the background image and the video image, so the motion vector of each pixel in the first, second and third frames of the original video frame is selected . The first frame of the original video frame is at position (x i ...

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Abstract

The invention discloses a motion direction based abnormal behavior detection method in monitoring video, which solves a problem that a video abnormal behavior is difficult to be detected accurately through analyzing the motion direction. The abnormal behavior detection method mainly comprises the following three parts: preliminary video object acquisition, video object optimization and video object abnormal behavior detection. In the first part, original video frames and background video frames are processed, and a preliminary video object is acquired by using an improved background subtraction method; in the second part, preliminary video object pixels with the moving speed being within a noise boundary threshold are screened, and the accurate position of the video object is acquired; and in the third part, the motion direction of the video object pixels is calculated, and a motion direction entropy is calculated so as to judge whether a behavior is abnormal or not. The abnormal behavior detection method simulates artificial marking, can detect most of the abnormal situations in time and has good real-time performance and effectiveness.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting abnormal behaviors based on motion directions in surveillance videos. Background technique [0002] In recent years, with the increase of various security emergencies, the improvement of public security awareness, and the penetration of the concept of artificial intelligence, intelligent monitoring has attracted more and more attention. The traditional monitoring system mainly realizes the safety management of public places through manual monitoring, which lacks real-time and initiative. In many cases, video surveillance only plays the role of video backup due to unmanned management, but does not fulfill the responsibility of supervision. In addition, with the popularization and widespread deployment of surveillance cameras, traditional manual surveillance methods can no longer meet the needs of modern surveillance. [0003] In response to this p...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/269
CPCG06T7/269G06T2207/10016G06T2207/30232G06T2207/30196G06V40/103
Inventor 陈志掌静岳文静刘星龚凯王福星金广华
Owner NANJING UNIV OF POSTS & TELECOMM
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