UNSPECIFIED (2004) Multiple motion segmentation through a highly robust estimator. In: IEEE International Conference on Systems, Man and Cybernetics, OCT 10-13, 2004, The Hague, NETHERLANDS.

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Abstract

This paper addresses optical flow estimation and motion segmentation through a highly robust estimator vbQAMPE [20]. A coarse-to-fine model based optical flow estimation technique through the robust local regression is first presented Then, the estimated optical flow is further optimised in each hierarchical level based on piecewise spatial coherence constraint using a robust M-estimator [4]. This technique can produce an accurate optical flow estimate for image sequence containing multiple motion and large motion. In the motion segmentation, we present a model-based motion segmentation technique through the mean shift based robust estimator vbQAMPE. The experimental results have demonstrated that our approach achieved good performance in most synthetic and real video sequences.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Series Name:	IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, CONFERENCE PROCEEDINGS
Journal or Publication Title:	2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7
Publisher:	IEEE
ISBN:	0-7803-8566-7
ISSN:	1062-922X
Date:	2004
Number of Pages:	6
Page Range:	pp. 3082-3087
Publication Status:	Published
Title of Event:	IEEE International Conference on Systems, Man and Cybernetics
Location of Event:	The Hague, NETHERLANDS
Date(s) of Event:	OCT 10-13, 2004
URI:	http://wrap.warwick.ac.uk/id/eprint/34135

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