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Wavelet transform-based hierarchical active shape model for object tracking  

Kim Hyunjong (중앙대학교 첨단영상대학원 영상공학과 시각및지능시스템 연구실)
Shin Jeongho (중앙대학교 첨단영상대학원 영상공학과 시각및지능시스템 연구실)
Lee Seong-won (중앙대학교 첨단영상대학원 영상공학과 시각및지능시스템 연구실)
Paik Joonki (중앙대학교 첨단영상대학원 영상공학과 시각및지능시스템 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.29, no.11C, 2004 , pp. 1551-1563 More about this Journal
Abstract
This paper proposes a hierarchical approach to shape model ASM using wavelet transform. Local structure model fitting in the ASM plays an important role in model-based pose and shape analysis. The proposed algorithm can robustly find good solutions in complex images by using wavelet decomposition. we also proposed effective method that estimates and corrects object's movement by using Wavelet transform-based hierarchical motion estimation scheme for ASM-based, real-time video tracking. The proposed algorithm has been tested for various sequences containing human motion to demonstrate the improved performance of the proposed object tracking.
Keywords
hierarchical; active shape model; video tracking; wavelet transform; non-rigid object;
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1 L. Vincent, P. Soille, 'Watersheds in DigitalSpaces : An Efficient Algorithm Based onImmersion Simulations,' IEEE Trans. PatternAnaIysis and Machine Intelligence, vol. 13,no. 6, PP. 1022-1034, Jun. 1991
2 D.K. Park, H. S. Yoon, C. S. Won, 'Fast Object Tracking in Digital Video,' IEEE Trans. Consumer Etectronics, vol. 46, no. 3, pp. 785-790, 2000   DOI   ScienceOn
3 기현종, Vivek Maik, 정정훈, 신정호, 백준기, '웨이블릿을 이용한 능동형태모델 기반 비디오 추적기술,' 대한전자공학회 추계학술대회, pp. 161-164, 2003년 11월
4 S. Tanimoto and T. Pavlidis, 'A hierarchical data structure for picture processing,' Comput. Graphics Image Process, vol. 4, pp. 104-119, 1996   DOI
5 O. Rioul and M. Vetteri, 'Wavelets and signal processing,' IEEE Signal Processing Mag., vol. 8, no. 4, pp. 14-38, Oct. 1991   DOI   ScienceOn
6 A. Koschan, S. Kang, J. Paik, B. Abidi, and M. Abidi, 'Color active shape models for tracking non-rigid objects,' Pattern Recognition Letters, Vol. 24, no. 11, pp. 1751-1765, July 2003   DOI   ScienceOn
7 M. Kass, A. Witkin, D. Terzopoulos, 'Snakes: Active Contour Models,' International Journal of Computer Vision, vol. 1, PP. 321-332, 1998   DOI
8 R. Plankers, P. Fua, 'Tracking and modeling people in video sequences,' Comp. Vision and Image Understanding, vol. 81, pp. 285-302, 2001
9 T. F. Cootes, A. Hill, C. J. Taylor C.J., and J. Haslam, 'The use of active shape models for locating structures in medical images,' Information Processing in Medical imaging, PP.33-47, 1993
10 T. J. Cootes, C. J. Taylor, D. H. Cooper, and J. Gragam, 'Training models of shape form sets of examples,' In British Machine Vision Conference, pp.9-18, September 1992
11 장준필, 김진태, 장태규, 최종수, 'Wavelet 변환을 이용한 계층적 움직임 추정', 제5회 신호처리 합동학술대회 논문집, PP. 406-410, 1992년 9월
12 S. M. Smith, 'Reviews of Optical Flow, Motion Segmentation, Edge Finding and Corner Finding,' Techinical Report, Dept. of Clinical Neurotogy, Oxford University, 1997
13 A. Murat TekalP, 'Digital Video Processing, 'Prentice hall signal processing series, 1995
14 T. F. Cootes, C. J. Taylor, and A. Lanitis, 'Active shape models: evaluation of a multi-resolution method for improving image search,' Proc. British Machine Vision Conference, PP. 327-336, 1994
15 A. Baumberg, 'Hierarchical shape fitting using an iterated linear filter,' Image and Vision Computing, vol. 16, pp. 329-335, 1996   DOI   ScienceOn