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|Scopus||Web of Science®||Altmetric|
|Title:||Tracking and segmenting people with occlusions by a sample consensus based method|
|Citation:||IEEE International Conference on Image Processing (ICIP), Genova, Italy 2005: pp.410-413|
|Series/Report no.:||IEEE International Conference on Image Processing ICIP|
|Conference Name:||IEEE International Conference on Image Processing (2005 : Genoa, Italy)|
|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.|
|Appears in Collections:||Aurora harvest|
Computer Science publications
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