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Summary: Video Object Tracking Based On Extended
Active Shape Models With Color Information
A. Koschan, S.K. Kang, J.K. Paik, B. Abidi, and M. Abidi
Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee
Knoxville, Tennessee
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.
Introduction
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