Multi-camera calibration, object tracking and query generation

F. Porikli, A. Divakaran
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
An automatic object tracking and video summarization method for multi-camera systems with a large number of non-overlapping field-of-view cameras is explained. In this framework, 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. We also present a novel solution to the inter-camera color calibration problem. The transitive model
more » ... ransitive model function enables effective compensation for lighting changes and radiometric distortions for large-scale systems. After initial calibration, objects are tracked at each camera by background subtraction and mean-shift analysis. 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 visit on Monday and what did it do there?"
doi:10.1109/icme.2003.1221002 dblp:conf/icmcs/PorikliD03 fatcat:ilcz5kpvzfhivhiilggdaxmcq4