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A Video Semantic Event Modeling Method

A modeling method and semantic technology, applied in the field of computer vision and pattern recognition, can solve the problems of missing reports by monitoring personnel and waste of manpower and material resources, so as to avoid the waste of manpower and material resources, improve work efficiency and reduce false reports

Active Publication Date: 2016-04-20
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0005] Surveillance video is of great significance for post-event evidence collection. However, in the face of so many surveillance devices, only relying on the surveillance personnel to judge the semantic events in the video through visual inspection will not only waste a lot of manpower and material resources, but also easily cause the Missed reporting of abnormal events due to fatigue or slack

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  • A Video Semantic Event Modeling Method
  • A Video Semantic Event Modeling Method
  • A Video Semantic Event Modeling Method

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] In order to reduce the underreporting of abnormal events and avoid the waste of manpower and material resources, the embodiment of the present invention provides a video semantic event modeling method, which adopts the intelligent video analysis method and uses the automatic detection of the video semantic model to replace manual supervision. When it occurs, it will be reminded by the alarm system, so that the efficiency and effect will be greatly guaranteed. See figure 1 , see the description below:

[0038] 101: Obtain an original video image sequence, and perform grayscale and filter preprocessing on the original video image sequence to obtain an initial video image sequence;

[0039] Among them, the embodiment of the presen...

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Abstract

The invention discloses a modeling method of a video semantic event, which comprises the steps that an original video image sequence is acquired, and subjected to graying and filtering preprocessing; an initial video image sequence is acquired, and subjected to self-adaption background modeling; an updated background image is acquired; a current image and the updated background image are subjected to pixel differencing correspondingly; a human body area in a foreground is obtained, and tracked by adopting a Meanshift algorithm; new position coordinates of each frame are acquired, and subjected to statistical analysis; and a corresponding movement behavior is judged. With the adoption of the method, under-reporting of an anomalous event is reduced; waste of manpower and material resources is avoided; and the working efficiency of monitoring equipment is improved.

Description

technical field [0001] The invention relates to the fields of computer vision and pattern recognition, in particular to a video semantic event modeling method. Background technique [0002] Sports human behavior analysis is a current research hotspot in the field of computer vision, that is, without human intervention, the image sequence captured by the camera is comprehensively used Carry out automatic analysis, realize human body positioning and tracking in dynamic scenes, and analyze and judge human behavior on this basis. The ultimate goal is to obtain the semantic description and understanding of behavior through the analysis of behavioral characteristic data, a general analysis method Modeling video semantic events. [0003] Video semantic event modeling can be applied to automatic annotation of large-scale video data, and is a key technology for automatic understanding, analysis, indexing and retrieval of video content. For example: in the field of video surveillanc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
Inventor 刘安安苏育挺高伟
Owner TIANJIN UNIV
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