On-line adaptive abnormal event detection method under video scene

A technology for abnormal events and video scenes, applied in computer parts, instruments, character and pattern recognition, etc., can solve the problems of low detection accuracy, insufficient research, and insufficient description of foreground information.

Active Publication Date: 2016-08-31
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, the research of this method is not deep enough, and its description of foreground information is not accurate enough, which leads to the reduction of detection accuracy.

Method used

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  • On-line adaptive abnormal event detection method under video scene
  • On-line adaptive abnormal event detection method under video scene
  • On-line adaptive abnormal event detection method under video scene

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Embodiment Construction

[0026] Attached below figure 1 , The specific implementation of the present invention will be described in further detail. Since the detection model used in the present invention is based on online processing, that is to say, it is necessary to learn the movement information of the foreground target online, and obtain which are the mainstream sports modes, and which are the sports modes that are significantly different from the mainstream sports modes, and consider the The sport mode with significant difference in mainstream sport mode is the sport mode of abnormal event. This method needs to use a video frame at the beginning of the video stream as the initialization data to learn the motion mode of the foreground target, and then calculate a threshold value according to the motion information in the initialization data, and change the motion mode of the foreground target of the newly arrived video frame Compare with this threshold to determine the area where the abnormal even...

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Abstract

The invention discloses an on-line adaptive abnormal event detection method under a video scene and is an abnormal event detection method based on time-space domain characteristics of a three-dimension optical flow histogram and on-line self-adaption. The on-line adaptive abnormal event detection method uses the three-dimension optical flow histogram as a descriptor of a foreground object movement based on the time-space domain under the video scene during a process of characteristic extraction and uses an on-line adaptive method to perform detection during the process of abnormal event detection. The on-line adaptive abnormal event detection method uses the time-space domain information based on three-dimension optical flow histogram during the characteristic extraction process and uses the on-line adaptive method during the detection process, so that the adaptability of an abnormal event detection model to various scenes is improved.

Description

Technical field [0001] The invention relates to a method for detecting abnormal events in a video scene, in particular to an online adaptive abnormal event detection method in a video scene. The present invention is an abnormal event detection method based on the temporal and spatial characteristics of the three-dimensional optical flow histogram and online clustering. Background technique [0002] With more and more surveillance scenes in the real world, scene analysis under video surveillance has also attracted the attention of more scholars. Although the existing detection methods have good accuracy and time performance, they can only detect abnormal events in specific scenarios. However, surveillance videos in real scenarios are constantly changing and cannot be estimated. We cannot determine in advance which conditions are abnormal events and which conditions are normal events. Therefore, we need to be able to adaptively learn the motion pattern of the foreground in this s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/41
Inventor 徐向华吕艳艳李平
Owner HANGZHOU DIANZI UNIV
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