Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55968
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Type: Conference paper
Title: Tracking and segmenting people with occlusions by a sample consensus based method
Author: Wang, H.
Suter, D.
Citation: IEEE International Conference on Image Processing (ICIP), Genova, Italy 2005: pp.410-413
Publisher: IEEE
Publisher Place: Online
Issue Date: 2005
Series/Report no.: IEEE International Conference on Image Processing ICIP
ISBN: 0780391349
9780780391345
ISSN: 1522-4880
Conference Name: IEEE International Conference on Image Processing (2005 : Genoa, Italy)
Statement of
Responsibility: 
Hanzi Wang and David Suter
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.
DOI: 10.1109/ICIP.2005.1530079
Description (link): http://dx.doi.org/10.1109/ICIP.2005.1530079
Appears in Collections:Aurora harvest
Computer Science publications

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