Method and device for detecting video abnormal events

An abnormal event and video technology, applied in the field of video analysis, can solve the problems of low efficiency and accuracy of video abnormal event detection, and achieve the effect of improving accuracy and expressive ability

Inactive Publication Date: 2015-01-07
CHINA SECURITY & FIRE TECH GRP +1
View PDF3 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method and device for detecting abnormal video events, so as to overcome the problems of low efficiency and accuracy in detecting abnormal video events in the related art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for detecting video abnormal events
  • Method and device for detecting video abnormal events
  • Method and device for detecting video abnormal events

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Such as figure 2 As shown, it is an exemplary flow chart of a video abnormal event detection method in an embodiment of the present invention, and the method includes the following steps:

[0062] Step 201: Extract the high-level representation information of the video stream to be detected that contains multiple frames of images, the high-level representation information includes the spatio-temporal information of the video stream to be detected, and the spatio-temporal information represents the texture feature information of each frame of image in the video stream to be detected And the timing relationship between texture feature information.

[0063] Step 202: Using the preset dictionary, calculate the reconstruction coefficient when using the minimum number of bases in the dictionary to represent the high-level representation information of the video stream to be detected.

[0064] The dictionary is established and updated continuously according to the following ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method and device for detecting video abnormal events. The method includes the steps that high-level expression information of a to-be-detected video stream with multiple images is extracted, wherein the high-level expression information comprises space-time information of the to-be-detected video stream; through a preset dictionary, reconstruction coefficients generated when bases with the minimum number in the dictionary are used for representing the high-level expression information of the to-be-detected video stream are calculated; according to the reconstruction coefficients, reconstruction cost values are calculated; when the reconstruction cost values are larger than a preset threshold value, it is confirmed that the abnormal events exist in the to-be-detected video stream; when the reconstruction cost values are smaller than or equal to the preset threshold value, it is confirmed that no abnormal events exist in the to-be-detected video stream. By the adoption of the method, the feature expression capacity is high, the abnormal events can be well described, and the detection efficiency and the detection accuracy of the video abnormal events are improved.

Description

technical field [0001] The invention relates to the field of video analysis, in particular to a method and device for detecting abnormal video events. Background technique [0002] With the increasing popularity of video surveillance equipment and people's increasing emphasis on security work, the analysis of surveillance video, especially the automatic detection of abnormal events in the video is more and more urgent. In the prior art, the following two methods are mainly used to detect abnormal video events: [0003] The detection method based on the target trajectory: It is necessary to detect and track the target first, obtain the target's trajectory, and then match the target's trajectory with the predefined abnormal event type to determine whether the target is abnormal. [0004] Detection method based on local low-level representation: In this method, target detection and tracking are not required, and some low-level representations representing normal and low-level ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06V10/772G06V10/84
CPCG06V20/40G06V20/44G06F18/214G06V20/52G06V10/84G06V10/7715G06V10/772G06F18/29
Inventor 田永鸿陈峥莹王耀威黄铁军
Owner CHINA SECURITY & FIRE TECH GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products