Robust tracking of human body parts for collaborative human computer interaction

Computer Vision and Image Understanding

Volumn 89, Issue 1, 2003, Pages 44-69

  Polat, Ediz ^a   Yeasin, Mohammed ^a   Sharma, Rajeev ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Collaborative human computer interaction; Human body parts tracking; Multiple hypothesis tracking

Indexed keywords

ALGORITHMS; PROBABILITY; THREE DIMENSIONAL; TWO DIMENSIONAL;

HUMAN BODY PARTS TRACKING; MULTIPLE HYPOTHESIS TRACKING;

HUMAN COMPUTER INTERACTION;

EID: 0043030068     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1077-3142(02)00031-0     Document Type: Article

References (42)

1. I. Haritaoglu, D. Harwood, L. Davis, Hydra: multiple people detection and tracking using silhouettes, in: 2nd Workshop of Visual Surveillance at CVPR, 1999.
2. R. Rosales, S. Sclaroff, Improved tracking of multiple humans with trajectory prediction and occlusion modelling, in: Workshop on Interpretation of Visual Motion, CVPR, 1998.
3. C. Wren, A. Azarbayejani, T. Darrell, A. Pentland, Pfinder: real time tracking of human body, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997).
4. V. I. Pavlovic, R. Sharma, T.S. Huang, Visual interpretation of hand gestures for human-computer interaction: A review, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 677-695.
5. R. Sharma, V. I. Pavlovic, T. S. Huang, Toward multimodal human-computer interface, Proc. IEEE 86 (5) (1998) 853-869.
6. M. Yeasin, S. Chaudhuri, Visual understanding of dynamic hand gestures, Pattern Recognition 33 (11) (2000) 1805-1817.
7. D. B. Reid, An algorithm for tracking multiple targets, IEEE Trans. Automat. Contr. 24 (6) (1979) 843-854.
8. T.E. Fortmann, Y. Bar-Shalom, M. Scheffe. Sonar tracking of multiple targets using joint probabilistic data association, J. Ocean Eng. 8 (3) (1983) 173-184.
9. P. Smith, G. Buechler, A branching algorithm for discriminating and tracking multiple objects, IEEE Trans. Automat. Contr. 20 (1975) 101-104.
10. I. J. Cox, S. L. Hingorani, An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking, IEEE Trans. Pattern Anal. Mach. Intell. 18 (2) (1996).
11. A. Bharatkumar, K. Daigle, M. Pandy, J. Aggarwal, Lower limb kinematics of human walking with the medial axis transformation, in: IEEE Workshop on Motion of Non-rigid and Articulated Objects, 1994.
12. E. Huber, Real-time gesture recognition using proximity space, in: Proc. Int. Conf. Pattern Recognition, Vienna, Austria, 1996, pp. 136-141.
13. S. Iwasawa, K. Ebihara, J. Ohya, S. Morishima, Real-time estimation of human body posture from monocular thermal images, in: Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, 1997, pp. 15-20.
14. M. K. Leung, Y.H. Yang, First sight: a human-body outline labeling system, IEEE Trans. Pattern Anal. Mach. Intell. 17 (4) (1995) 359-377.
15. K. Rohr, Towards model-based recognition of human movements in image sequences, Comput. Vision, Graphics, and Image Process. Image Understanding 59 (1) (1994) 94-115.
16. F. Perales, J. Torres, A system for human motion matching between synthetic and real images based on a biomechanic graphical model, in: Proc. IEEE Workshop on Motion of Non-Rigid and Articulated Objects, 1994, pp. 83-88.
17. L. Goncalves, E. Di Benardo, E. Ursella, P. Perona, Monocular tracking of the human arm in 3-d, in: Int. Conf. Comput. Vision, 1995, pp. 764-770.
18. J. Rehg, T. Kanade, Model-based tracking of self-occluding articulated objects, in: Proc. IEEE Int. Conf. Comput. Vision, 1995, pp. 612-617.
19. I. Kakadiaris, D. Metaxas, Model-based estimation of 3-d human motion with occlusion based on active multi-viewpoint selection, in: Proc. IEEE Conf. Comput. Vision and Pattern Recognition, San Francisco, 1996, 1996, pp. 81-87.
20. D.M. Gavrila, L.S. Davis, 3d model-based tracking of humans in action: a multi-view approach, in: Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, 1996, pp. 73-80.
21. E. A. Hunter, P.H. Kelly, R.C. Jain, Estimation of articulated motion using kinematically constrained mixture densities, in: Proc. IEEE Workshop on Motion of Non-Rigid and Articulated Objects, Puerto Rico, 1997, pp. 10-17.
22. S. Wachter, H.H. Nagel, Tracking of persons in monocular image sequences, in: Proc. IEEE Workshop on Motion of Non-Rigid and Articulated Objects, Puerto Rico, 1997, pp. 2-9.
23. Y. B. Shalom, T. E. Fortmann, Tracking and Data Association, Academic Press, New York, 1988.
24. S. Blackman, R. Popoli, Design and Analysis of Modern Tracking Systems, Artech House, 1999.
25. I. J. Cox, A review of statistical data association techniques for motion correspondence, Int. J. Comput. Vision 10 (1) (1993) 53-66.
26. S.S. Blackman, G.K. Tucker, R.J. Dempster, S.H. Roszkowski, Application of multiple hypothesis tracking to shipboard irst tracking, SPIE 2759 (1996) 441-452.
27. W. Koch, Fixed interval retrodiction approach to bayesian imm-mht maneuvering multiple targets, IEEE Trans. Aerospace Electron. Syst. 36 (1) (2000).
28. J.J. Leonard, B.A. Moran, I. J. Cox, M.L. Miller, Underwater sonar data fusion using an efficient multiple hypothesis algorithm, in: IEEE Int. Conf. Robotics and Automation, 1995.
29. K.G. Murty, An algorithm for ranking all the assignments in order of increasing cost, Oper. Res. 16 (1968).
30. T.J. Cham, J.M. Rehg, A multiple hypothesis approach to figure tracking, Tech. Rep. CRL98/8, Cambridge Research Lab. Technical Report Series, 1998.
31. J. MacCormick, A. Blake, A probabilistic exclusion principle for tracking multiple objects, in: Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, 1999.
32. C. Rasmussen, G. Hager, Joint probabilistic techniques for tracking multi-part objects, in: Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, 1998, pp. 16-21.
33. S. Intille, J. Davis, A. Bobick, Real-time closed-world tracking, in: Proc. IEEE Comput. Soc. Conf. Computer Vision and Pattern Recognition, 1997, pp. 697-703.
34. D. Koller, J.W. Weber, J. Malik, Robust multiple car tracking with occlusion reasoning, in: Proc. Eur. Conf. Comput. Vision, 1994, pp. 189-196.
35. T. Kurien, Y. Bar-Shalom, Issues in the Design of Practical Multitarget. Tracking Algorithms Multitarget Multisensor Tracking: Advanced Applications, Artech House, 1990.
36. R.E. Kalman, A new approach to linear filtering and prediction problems, Trans. ASME - J. Basic Eng. (1960) 35-45.
37. E. Polat, M. Yeasin, R. Sharma, Multiple complex object tracking using a combined technique, in: Int. Conf. Pattern Recognition, 2002. 2002.
38. I.K. Sethi, R. Jain, Finding trajectories of feature points in monocular image sequences, IEEE Trans. Pattern Anal. Mach. Intell. 9 (1) (1987).
39. E. Polat, M. Yeasin, R. Sharma, Tracking body parts of multiple people: a new approach, in: IEEE Int. Conf. Comput. Vision, Workshop on Multi Object Tracking, 2001.
40. R. Jain, R. Kasturi, B.G. Schunck, Machine Vision, McGraw Hill, New York, 1995.
41. Poser Software. Available from http://www.curiouslabs.com.
42. G. Medioni, I. Cohen, F. Bremond, S. Hongeng, R. Nevatia, Event detection and analysis from video streams, IEEE Trans. Pattern Anal. Mach. Intell. 23 (8) (2001) 873-889.