An automatic extraction method of surveillance visual context

Abstract

In this paper, we propose an algorithm to address the problem of automatic extraction of visual context in surveillance video scene. Firstly, we analyze the trajectory information distribution to get the characteristic of the information; then by using Gaussian mixture model we do the cluster analysis of the moving tendency reflected by the trajectory direction. For the similar direction trajectory segments, we do the hierarchical clustering based on the proposed similarity measure to get the key routine of the scene. At the end of this paper, the experiments result shows the efficiency of our algorithm. © 2013 Springer-Verlag.