Low latency tracking and anomaly detection in pedestrian crowds from video data
Oliver F. Lehmann · 2016
A low latency behavior analysis of human crowds is important for the prevention of crowd disasters. It is critical, in particular, in a security context because of the opportunity to cause large damage through malicious actions as we have seen during the Boston Marathon on April 15, 2013. Ensuring safety through continuous crowd monitoring by humans is impractical in heavily utilized pedestrian scenes and a computer vision-based tracking of each individual in a large crowd is virtually impossible due to the combination of sheer numbers, the proximity between people, and partial occlusion.