A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model

摘要

We present a method for estimating activities of multiple, interacting objects detected by a video surveillance sys- tem. The activities are described in a stochastic context because our method is concerned with humans and uses noisy features detected from video. To monitor activities in this context, we in- troduce the concept of an attribute set for each blob, consisting of object type, action, and interaction. Using probabilistic relations introduced by a specific Markov model of these attribute sets, the activity description are estimated from surveillance video.