Abnormal Behavior Analysis based on Latent Topics
Jinsheng Xie · Communications technology · 2012
An abnormal behavior analysis method based on efficient space-time 3D-sift features and latent topics is proposed.This method extracts interest points by using the Gabor filters and 3D-sift video feature descriptor,and views the video as the text,thus the interest points are the words in the text.Assuming that some latent topics exist in between the words and the text,the pLSA algorithm implements abnormal behavior analysis in accordance with the topics distribution in the video rather than the words.The redundant points extracted by the Gabor filter are excluded,and also the parallel algorithms adopted to reduce the computing time.