Motion tracking based on area and level set weighted centroid shifting

IET Computer Vision

Volumn 4, Issue 2, 2010, Pages 73-84

  Lee, S H ^a   Kang, M G ^b  

^a Dongseo University   (South Korea)

^b Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND FEATURES; BIMODAL SEGMENTATION; COLOUR CHANGE; FRAME-RATE; LEVEL SET; LOCALISATION; MEAN SHIFT; MOTION TRACKING; PARTIAL OCCLUSIONS; SPATIAL INFORMATIONS; TARGET LOCATION; TRACKING ALGORITHM; TRACKING SCHEME; WEIGHTED CENTROID; WEIGHTED MEAN;

ALGORITHMS; COLOR; PIXELS; TARGETS;

TARGET TRACKING;

EID: 77954293507     PISSN: 17519632     EISSN: 17519640     Source Type: Journal    
DOI: 10.1049/iet-cvi.2008.0017     Document Type: Article

References (24)

1. http://www.panasonic.com/business/security/sd3, accessed February 2008
2. http://www.autodome.com/, accessed February 2008
3. Murray, D. Basu, A.: 'Motion tracking with an active camera', IEEE Trans. Pattern Anal. Mach. Intell., 1994, 16, (5), p. 449-459, 0162-8828
4. Yu, Q. Medioni, G.: 'Map-enhanced detection and tracking from a moving platform with local and global data association', 2007, IEEE workshop on motion and video computing.
5. Ren, Y. Chua, C.-S. Ho, Y.-K.: 'Motion detection with nonstationary background', Mach. Vis. Appl., 2003, 13, p. 332-343
6. Stauffer, C. Grimson, W.E.L.: 'Learning patterns of activity using real time tracking', IEEE Trans. Pattern Anal. Mach. Intell., 2000, 22, (8), p. 747-767, 0162-8828
7. Rittscher, J. Kato, J. Joga, S. Blake, A.: 'A probabilistic background model for tracking', 2000, (2), p. 336-350 European Conf. on Computer Vision.
8. Oliver, N.M. Rosario, B. Pentland, A.: 'A bayesian computer vision system for modeling human interactions', IEEE Trans. Pattern Anal. Mach. Intell., 2000, 22, (8), p. 831-843, 0162-8828
9. Monnet, A. Mittal, A. Paragios, N. Ramesh, V.: 'Background modeling and subtraction of dynamic scenes', IEEE Int. Conf. on Computer Vision, 2003
10. Zhong, J. Sclaroff, S.: 'Segmenting foreground objects from a dynamic textured background via a robust Kalman filter', IEEE Int. Conf. on Computer Vision, 2003
11. Comaniciu, D. Ramesh, V. Meer, P.: 'Kernel-based object tracking', IEEE Trans. Pattern Anal. Mach. Intell., 2003, 25, p. 564-575, 0162-8828
12. Bradski, G.R.: 'Computer vision face tracking for use in a perceptual user interface', Intel Technol. J., 1998, p. 1-15 2nd quarter, 1535-864X
13. Comaniciu, D.: 'Bayesian Kernel tracking', Annual Conf. German Society for Pattern Recognition, 2002, p. 438-445
14. McKenna, S. Raja, Y. Gong, S.: 'Tracking colour objects using adaptive mixture models', Image Vis. Comput. J., 1999, 17, p. 223-229
15. Xu, D. Wang, Y. An, J.: 'Applying a new spatial color histogram in mean-shift based tracking algorithm', Image Vis. Comput., 2005, New Zealand
16. Yang, C.J. Duraiswami, R. Davis, L.S.: 'Efficient mean-shift tracking via a new similarity measure', CVPR05, 2005, 1, p. 176-183
17. Naeem, A. Mills, S. Pridmore, T.: 'Structured combination of particle filter and Kernel mean-shift tracking', Proc. Int. Conf. Image and Vision Computing, New Zealand 2006
18. Deguchi, K. Kawanaka, O. Okatani, T.: 'Object tracking by the mean-shift of regional colour distribution combined with the particle-filter algorithm', Proc. ICPR, 2004, p. 506-509
19. Zhu, Z. Ji, Q. Fujimura, K.: 'Combining Kalman filtering and mean shift for real time eye tracking under active IR illumination', IEEE Int. Conf. Pattern Recognition, 2002, 4, p. 318-321
20. Hager, G. Dewan, M. Stewart, C.: 'Multiple Kernel tracking with ssd', Proc. IEEE Conf. Comp. Vision Pattern Recognition, Washington, D.C. 2004, 1, p. 790-797
21. Porikli, F. Tuzel, O.: 'Multi-Kernel object tracking', IEEE Int. Conf. on Multimedia and Expo (ICME), July 2005, p. 1234-1237
22. Rabinowitz, P.: 'Level set-based bimodal segmentation with stationary global minimum', IEEE Trans. Image Process., 2006, 15, p. 2843-2852, 1057-7149
23. Chan, T.F. Vese, L.A.: 'Active contours without edges', IEEE Trans. Image Process., 2001, 10, (2), p. 266-277, 1057-7149
24. Gibou, F. Fedkiw, R.: 'A fast hybrid k-Means level set algorithm for segmentation', Fourth Annual Hawaii Int. Conf. on Statistics and Mathematics, November 2002, p. 281-291