Title :
Hierarchical approach to enhanced active shape model for color video tracking
Author :
Kang, K. ; Koschan, A. ; Zhang, H.S. ; Paik, J.K. ; Abidi, B.R. ; Abidi, M.A.
Author_Institution :
Imaging, Robotics, & Intelligent Syst. Lab., Tennessee Univ., Knoxville, TN, USA
Abstract :
Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increasing importance to many applications. In this paper, we present a hierarchical realization of an enhanced active shape model for color video tracking and we study the performance of hierarchical and non-hierarchical implementations in the RGB, YUV, and HSI color spaces.
Keywords :
image colour analysis; image recognition; image sequences; object recognition; tracking; video signal processing; HSI color spaces; RGB color spaces; YUV color spaces; color video tracking; enhanced active shape model; hierarchical implementations; hierarchical realization; nonhierarchical implementations; nonrigid objects; recognition; tracking; video image sequences; Active shape model; Biological system modeling; Covariance matrix; Eigenvalues and eigenfunctions; Intelligent robots; Intelligent systems; Laboratories; Principal component analysis; Solid modeling; Target tracking;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1038168
