Multi-Camera Surveillance: Object-Based Summarization Approach
Fatih Porikli · 2004
An automatic object tracking and video summarization method for multicamera systems with a large number of non-overlapping field-of-view cameras is explained. In this system, video sequences are stored for each object as opposed to storing a sequence for each camera. Objectbased representation enables annotation of video segments, and extraction of content semantics for further analysis and summarization. Objects are tracked at each camera by background subtraction and mean-shift analysis. Then the correspondence of objects between different cameras is established by using a Bayesian Belief Network. This framework empowers the user to get a concise response to queries such as “which locations did an object visited on Monday and what did he do there?”