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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.2.109

Stereo Images-Based Real-time Object Tracking Using Active Feature Model  

Park, Min-Gyu (배재대학교 정보통신공학과)
Jang, Jong-Whan (배재대학교 정보통신공학과)
Publication Information
The KIPS Transactions:PartB / v.16B, no.2, 2009 , pp. 109-116 More about this Journal
Abstract
In this thesis, an object tracking method based on the active feature model and the optical flow in stereo images is proposed. We acquired the translation information of object of interest and the features of object by utilizing the geometric information and depth of stereo images. Tracking performance is improved for the occlude object with this information by predicting the movement information of features of the occlude object. Rigid and non-rigid objects are experimented. From the result of experiment, the OOI can be real-time tracked from complicate back ground. Besides, we got the improved result of object tracking in any occlusion state, no matter what it is rigid or non-rigid object.
Keywords
Stereo; Disparity Maps; Disparity; Optical Flow;
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1 I. Haritaoglu, D. Harwood, and L.S Davis, 'W-4: Realtime surveillance of people and their activities', IEEE Trans. Pattern Anal. Machine Intell., Vol.22, pp.809-830, Aug. 2000   DOI   ScienceOn
2 Kass, M., A. Witkin, and D. Terzopoulos. 'Snake: Active Contour Models.' Int'l J. Computer Vision, Vol.1, No.4, pp.321-331, 1987   DOI
3 S. McKenna, Y. Raja, and S. Gong, 'Tracking Contour Object Using Adaptive Mixture Models', Image and Vision Computing, pp.225-231, 1999   DOI   ScienceOn
4 A. M. Baumberg, 'Learning deformable models for tracking human motion,: Ph.D. dissertation, School of Comput. Studies, Univ. of Leeds, U.K, Oct. 1995
5 T. J. Cootes, C. J Taylor, D. H. Copper, and J. Gragam, 'Training models of shape form sets of examples', In British Machine Vision Conference, pp.9-18, Sep. 1992
6 J.Shi and C.Tomasi. 'Good features to track', In Proceedings of the Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, pp.592-600, 1994
7 R. Plankers and P. Fua, 'Tracking and Modeling People in Video Sequences', Computer Vision and Image Understanding, pp.285-302, 2001   DOI   ScienceOn
8 Carlo Tomasi and Takeo Kanade, 'Detection and Tracking of Point Features', Carnegie Mellon University Technical Report CMU-CS-91-132, April 1991
9 Kunsoo Huh, Jaehak Park, Junyeon Hwang, Daegun Hong, 'A stereo vision-based obstacle detection system in vehicles', Optics and Lasers in Engineering, Vol.46, No.2, pp.168-178, Feb. 2008   DOI   ScienceOn
10 D. Comaniciu, V. Ramesh and, P. Meer, 'Kernel-based object tracking', IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol.25, No.5, pp.564-577. May 2003   DOI   ScienceOn
11 A. Grun, 'Adaptive least squares correlation: a powerful image matching technique', South African Journal of photogrammetry on Remote Sensing and Cartography, pp.175-187, 1985
12 P. Fua, 'A parallel stereo algorithm that produces dense depth maps and preserves image features', Machine Vision and Applications, pp.35-49, 1993   DOI
13 Kim, S. H., J. W. Jang, and J. H. Choi. 'Object Segmentation Algorithm Using Snakes in Stereo Images', Optical Engineering, Vol.45, No.3, pp.037005, Mar. 2006   DOI   ScienceOn
14 T. Tommasini, A. Fusiello, E. Trucco, and V. Roberto. Making 'Good Features Track Better', Proc. IEEE Conf. Computer Vision, pp.683-689, 2001
15 Stan Birchfield, 'Derivation of Kanade-Lucas-Tomasi Tracking Equation', Unpublished, May 1996
16 P. J. Bert and J. R. Bergen, 'Object Tracking with a Moving Camera,' Proc. of Workshop on Visual Motion, pp.2-12, 1989
17 Kim, S. H., A. M. Alattar, and J. W. Jang. 'Snake-Based Object Tracking in Stereo Sequences with the Optimization of the Number of Snake Points', ICIP2006, pp.193-196, Oct.2006
18 M. Hannah, 'Digital stereo image matching techniques', International Archives of Photogrammetry and Remote Sensing, pp.280-293, 1988
19 M. Hannah, 'A system for digital stereo image matching', Photogrammetric Engineering and Remote Sensing, pp.1765-1770, Dec. 1989