A rapid abnormal event detection method for surveillance video based on a novel feature in compressed domain of HEVC

Event detection plays an essential role in video content analysis. On the other hand, according to our analysis, the coding structures in new video coding standard High Efficient Video Coding (HEVC) have a high correlation with video contents. Hence there is large potential to identify events by reusing coding structures in HEVC, which can save a huge amount of computational resources. In this paper, we proposed a new compressed-domain feature for abnormal event detection, namely Motion Intensity Count (MIC), which makes use of motion vectors, coding unit and prediction unit modes in HEVC with little computational cost. MIC can well predict the normal paths of moving objects, which enables us to identify motions in unexpected locations where abnormal events are likely to happen. Our experiments show that MIC can correctly detect abnormal events at about 1250 fps.