Crowd Abnormal Behaviour Identification Based on Integral Optical Flow in Video Surveillance Systems
Huafeng Chen, Olga Nedzvedz, Shiping Ye, Sergey Ablameyko · Informatica · 2018
Basic motion structures of crowd aggregation and crowd dispersion are defined and a novel method for identifying these crowd behaviours is proposed. Based on integral optical flow, background and foreground are separated and intensive motion region is obtained. Crowd motion is analysed at pixel-level statistically for each frame to obtain quantity of pixels moving toward or away from each position and their comprehensive motion at each position. Regional motion indicators are computed and regional motion maps are formed to describe motions at region-level. Crowd behaviours are identified by threshold segmentation of regional motion maps.