Mean shift object tracking for a SIMD computer

Proceedings - 3rd International Conference on Information Technology and Applications, ICITA 2005

Volumn I, Issue , 2005, Pages 692-697

  Allen, John G ^a   Xu, Richard Y D ^a   Jin, Jesse S ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER HARDWARE; OPTIMIZATION; PROGRAM PROCESSORS; VIDEO SIGNAL PROCESSING;

HISTOGRAM ENHANCEMENTS; MEAN SHIFT; OBJECT TRACKING;

OBJECT RECOGNITION;

EID: 33646779853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICITA.2005.177     Document Type: Conference Paper

References (15)

1. K. Fukunaga, Introduction to statistical pattern recognition, 2nd Edition (Academic Press, New York, 1990).
2. Y. Cheng, Mean shift, mode seeking, and clustering. IEEE Trans. Pattern Anal. Machine Intel. 17, 1995, 790-799.
3. M. Isard & A. Blake, Condensation - conditional density propogation for visual tracking. International Journal of Computer Vision 29(1), 1998, 5-28.
4. K. Nummiaro, E. Koller-Meier, and L. Gool, a color-based particle filter. In Proc. of the 1st International Workshop on Generative-Model-Based Vision, in conjunction with ECCV02, Denmark, 2002, 53-60.
5. D. Comaniciu, V. Ramesh, P. Meer: Kernel-Based Object Tracking, IEEE Trans. Pattern Analysis Machine Intell., 25(5), 2003, 564-575.
6. G. Bradski: Computer vision face tracking for use in a perceptual user interface. Intel Technology Journal, 2nd Quarter, 1998.
7. Intel Corporation, open source computer vision library reference manual, 2001.
8. W. Freeman, K. Tanaka, J. Ohta & K. Kyuma, Computer vision for computer games. Int. Conf. On Automatic Face and Gesture Recognition, 1996, 100-105.
9. Liu, Nianjun and Lovell, Brian MMX-Accelerated Real-Time Hand Tracking System. In Proceedings IVCNZ 2001, 26-28 November, 2001, 381-385, Dunedin, New Zealand.
10. Horn, B. K. P. (1986): Robot vision (MIT Press, 1986).
11. D. Vignon, Lovell, C. Brian & J. Andrews, General purpose real-time object tracking using hausdorff transforms. In Proceedings IPMU2002, Annency, France, 2002, 1-6.
12. D. Comaniciu, V. Ramesh: Mean shift and optimal prediction for efficient object tracking, IEEE Int. Conf. Image Processing, Vancouver, Canada, Vol. 3, 2000, 70-73.
13. K.Nummiaro, E.Koller-Meier, L. Van Gool. object tracking with an adaptive color-based particle filter. Proc. of the Symposium for Pattern Recognition of the DAGM, LNCS 2449, Switzerland, 2002, 353-360.
14. F. Porikli, Human body tracking by adaptive background models and mean-shift analysis, IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, 2003.
15. D. Comaniciu and P. Meer, Mean shift: A robust approach toward feature space analysis, IEEE Trans. Pattern Anal. Machine Intell., 24(5), 2002, 603-619.