MOVING OBJECT ANALYSIS IN VIDEO SEQUENCES USING SPACE-TIME INTEREST POINTS

Among all the features which can be extracted from videos, we propose to use Space-Time Interest Points (STIPs). STIPs are particularly interesting because they are simple and robust low-level features providing an efficient characterization of moving objects within videos. In this paper, after defining STIPs and after giving some of their properties, we will use STIPs to detect moving objects and to characterize specific changes in the movements of these objects. Proposed results are obtained from two very different types of videos, namely athletic videos and animation movies.