ABNORMAL SECTIONS DETECTION BASED ON INTER-FRAMES INFORMATION IN VIDEO SEQUENCE

Author:

WANG WEI12,WANG RUNSHENG1,GAO WEI2

Affiliation:

1. ATR Key Lab., National University of Defense Technology, Changsha, Hunan, P. R. China

2. Qingdao Branch, Naval Aeronautical Engineering Institute, Qingdao, Shandong, P. R. China

Abstract

An approach is proposed for abnormal sections detection and rank classification in video sequences. In this approach, we give the definition of the abnormality of the video sections and create an abnormal factor to evaluate the abnormality. Firstly, the histogram is selected to describe the color change in the section, and then the histograms of the frames selected from the section compose the histogram matrix. In order to improve the process efficiency, the principal components analysis is used to reduce dimensions of the histogram matrix. Secondly, the information of frames differences is used to describe the motion change information, and the information twice frame difference is used to describe the change rate. Lastly, the results from the features are fused to get the final result. This method is experimented with some samples. The results show that this method can realize the abnormal detection and rank classification of video sequences, and the results are better than the other related techniques.

Publisher

World Scientific Pub Co Pte Lt

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