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Video Object Motion Segmentation for Intelligent Visual Surveillance

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Publication date09/2007
Host publicationInternational Machine Vision and Image Processing Conference (IMVIP 2007)
Number of pages1
ISBN (Print)0769528872, 9780769528878
<mark>Original language</mark>English


This paper presents a video object motion segmentation method for object tracking in visual surveillance. In the first step, the frames are first decomposed into small facets (regions), using colour information. Then, based on the detected motion, the motion segmentation is performed at facet level. A Bayesian approach is applied in clustering facets into moving objects and tracking moving video objects. Experiments have verified that the proposed method can efficiently tackle the complexity of video motion tracking.