CROWD VIDEO SEQUENCES PROCESSING METHODS FOR DETERMINING THE CROWD MOTION PATTERNS

Abstract

Nowadays, homogeneous objects clusters motion is one of the most important and rapidly developing computer vision and machine learning application. In this paper, we consider the crowd motion patterns determination by using motion maps that we calculate with FlowNet, a neural network examining motion of objects in a video sequence. This approach allows us to get information on the crowd direction and velocity with relation to other objects of scene, which plays the key role in behavior analysis and security establishment. Besides, we consider methods for preliminary video sequence processing, including frame combination, to estimate motion maps more precisely and improve the effectiveness of the dynamic scenes analysis.