Computer Science ›› 2016, Vol. 43 ›› Issue (5): 283-287.doi: 10.11896/j.issn.1002-137X.2016.05.054

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Detection Method for Group Riot Activity Based on Change Frequency of Optical Flow’s Magnitude

LIN Jie and LIN La   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Group riot activity is the focus of video surveillance,which is emergent and destructive.To detect the group riot activity intelligently is helpful for improving the intelligence level of video surveillance.The common activity detection methods have high false alarm rate while detecting group riot activity from videos.In this paper,a detection method for group riot activity was proposed based on change frequency of optical flow’s magnitude.Firstly, the optical flow of each pixel on each frame in a video is calculated.Secondly,a binary map is obtained to reflect the changes of optical flow aptively.Then an activity descriptor by dividing an image into several blobs and the change frequency histogram of optical flow is calculated independently.Finally,the activity features are trained and classified by using a linear support vector machine.Experiments show that the new method has low false alarm rate,low missed alarm rate and high genuine acceptance rate,while detecting group riot activity.So it can be widely used in the field of intelligent video surveillance.

Key words: Group riot activity,Activity detection,Optical flow,SVM

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