Video Object Motion Segmentation for Intelligent Visual Surveillance

Jiang, M. and Crookes, D. (2007) Video Object Motion Segmentation for Intelligent Visual Surveillance. In: International Machine Vision and Image Processing Conference (IMVIP 2007). IEEE, p. 202. ISBN 0769528872

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Abstract

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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
134942
Deposited By:
Deposited On:
24 Jun 2019 09:50
Refereed?:
Yes
Published?:
Published
Last Modified:
09 Sep 2020 08:16