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Volume: 1 | Article ID: art00029
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Video Object Tracking Based On Extended Active Shape Models With Color Information
A. Koschan
S.K. Kang
J.K. Paik
B. Abidi
M. Abidi
  DOI :  10.2352/CGIV.2002.1.1.art00029  Published Online :  January 2002
Abstract

Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa sing importance to many applications. For the tracking of such objects in a video sequence e.g. “active shape models” can be applied. The existing active shape models are usually based on intensity information and they do not consider color information. However, active shape models are sensitive to outliers, especially in the case of partial object occlusions. In this paper, we present an extension of the active shape model for color images and we examine to what extent the use of color information can contribute to the solution of the outlier problem.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00029
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A. Koschan, S.K. Kang, J.K. Paik, B. Abidi, M. Abidi, "Video Object Tracking Based On Extended Active Shape Models With Color Information"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 126 - 131,  https://doi.org/10.2352/CGIV.2002.1.1.art00029

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Copyright © Society for Imaging Science and Technology 2002
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Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.126;1-
cgiv_v2002n1/splitsection29.xml
/ist/cgiv/2002/00002002/00000001/art00029
Articles
Video Object Tracking Based On Extended Active Shape Models With Color Information
KoschanA.
KangS.K.
PaikJ.K.
AbidiB.
AbidiM.
01012002
2002
1
126
131
2002
Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa sing importance to many applications. For the tracking of such objects in a video sequence e.g. “active shape models” can be applied. The existing active shape models are usually based on intensity information and they do not consider color information. However, active shape models are sensitive to outliers, especially in the case of partial object occlusions. In this paper, we present an extension of the active shape model for color images and we examine to what extent the use of color information can contribute to the solution of the outlier problem.