WEI WANG
ATR Key Lab., National University of Defense Technology, Changsha, Hunan, P. R. China
Qingdao Branch, Naval Aeronautical Engineering Institute, Qingdao, Shandong, P. R. China
RUNSHENG WANG
ATR Key Lab., National University of Defense Technology, Changsha, Hunan, P. R. China
WEI GAO
Qingdao Branch, Naval Aeronautical Engineering Institute, Qingdao, Shandong, P. R. China

Received 16 September 2008
Accepted 14 March 2009

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.

Frames information; abnormal sections detection; principal components analysis (PCA)