Color active shape models for tracking non-rigid objects

Authors:
Andreas Koschan;Sangkyu Kang;Joonki Paik;Besma Abidi;Mongi Abidi
Affiliations:
Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee, 330 Ferris Hall, 1508 Middle Dr., Knoxville, TN;Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee, 330 Ferris Hall, 1508 Middle Dr., Knoxville, TN;The Graduate School of Advanced Imaging Science, Chung-Ang University, Seoul 156-756, South Korea;Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee, 330 Ferris Hall, 1508 Middle Dr., Knoxville, TN;Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee, 330 Ferris Hall, 1508 Middle Dr., Knoxville, TN
Venue:
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Year:
2003

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Abstract

Active shape models can be applied to tracking non-rigid objects in video image sequences. Traditionally these models do not include color information in their formulation. In this paper, we present a hierarchical realization of an enhanced active shape model for color video tracking and we study the performance of both hierarchical and nonhierarchical implementations in the RGB, YUV, and HSI color spaces.