Tracking and segmenting people with occlusions by a sample consensus based method

Wang, H.; Suter, D.

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55968

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DC Field	Value	Language
dc.contributor.author	Wang, H.	-
dc.contributor.author	Suter, D.	-
dc.date.issued	2005	-
dc.identifier.citation	IEEE International Conference on Image Processing (ICIP), Genova, Italy 2005: pp.410-413	-
dc.identifier.isbn	0780391349	-
dc.identifier.isbn	9780780391345	-
dc.identifier.issn	1522-4880	-
dc.identifier.uri	http://hdl.handle.net/2440/55968	-
dc.description.abstract	One of the most difficult issues in visual tracking is to track people in groups, especially under occlusions. In this paper, we present a novel sample consensus based method, which utilizes both color and spatial information of human bodies, to model the appearance of people. We use this appearance model to segment and track people through occlusions. We show experimental results in several video sequences to validate the effectiveness of the proposed method.	-
dc.description.statementofresponsibility	Hanzi Wang and David Suter	-
dc.description.uri	http://dx.doi.org/10.1109/ICIP.2005.1530079	-
dc.language.iso	en	-
dc.publisher	IEEE	-
dc.relation.ispartofseries	IEEE International Conference on Image Processing ICIP	-
dc.source.uri	http://dx.doi.org/10.1109/icip.2005.1530079	-
dc.title	Tracking and segmenting people with occlusions by a sample consensus based method	-
dc.type	Conference paper	-
dc.contributor.conference	IEEE International Conference on Image Processing (2005 : Genoa, Italy)	-
dc.identifier.doi	10.1109/ICIP.2005.1530079	-
dc.publisher.place	Online	-
pubs.publication-status	Published	-
dc.identifier.orcid	Suter, D. [0000-0001-6306-3023]	-
Appears in Collections:	Aurora harvest Computer Science publications

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