DocumentCode
442726
Title
Tracking and segmenting people with occlusions by a sample consensus based method
Author
Wang, Hanzi ; Suter, David
Author_Institution
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Volume
2
fYear
2005
fDate
11-14 Sept. 2005
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.
Keywords
image colour analysis; image segmentation; image sequences; tracking; color information; occlusions; people segmentation; people tracing; sample consensus based method; spatial information; video sequences; visual tracking; Australia; Biological system modeling; Computer vision; Gaussian processes; Histograms; Humans; Layout; Shape; Systems engineering and theory; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530079
Filename
1530079
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