A Crowd Anomaly Behavior Detection Algorithm
Facun Zhang, Weiwei Xue, Lijun Cui, Guangrui Zhu · 2018
This paper focuses on the detection of crowd abnormal behaviors in surveillance systems. By an improved Harris feature point extraction method in multi-scale space, feature points needed for crowd anomaly behavior detection are extracted. A feature point optimization method based on the motion foreground extraction algorithm is designed. The optimized feature points are classified according to the motion attributes. In the crowd abnormality behavior detection stage, a comprehensive abnormality decision method combining speed and direction is given. Experiment results shows this method has good adaptability in different scenarios.