Real-Time Human Tracking System with Multiple Omnidirectional Vision Sensors

Systems and Computers in Japan

Volumn 35, Issue 2, 2004, Pages 79-90

  Sogo, Takushi ^a   Ishiguro, Hiroshi ^b   Trivedi, Mohan M ^c  

^a KYOTO UNIVERSITY   (Japan)

^b WAKAYAMA UNIVERSITY   (Japan)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

N ocular stereo; Omnidirectional vision sensor; Real time tracking; Trinocular stereo

Indexed keywords

COMPUTER VISION; ERROR ANALYSIS; IMAGE ANALYSIS; PROBLEM SOLVING; SENSORS; SOFTWARE PROTOTYPING; TRACKING (POSITION);

N-OCULAR STEREO; OMNIDIRECTIONAL VISION SENSORS; REAL-TIME TRACKING; TRINOCULAR STEREO;

REAL TIME SYSTEMS;

EID: 1142276097     PISSN: 08821666     EISSN: None     Source Type: Journal    
DOI: 10.1002/scj.1228     Document Type: Article

References (24)

1. Boyd JE, Hunter E, Kelly PH, Tai L-C, Phillips CB, Jain RC. MPI-Video infrastructure for dynamic environments. Proc IEEE Int Conf Multimedia Computing and Systems, p 249-254, 1998.
2. Kanada T, Collins T, Lipton AJ, Anandau P, Butt P, Wixson L. Cooperative multi-sensor video surveillance. DARPA Image Understanding Workshop 1997;1:3-10.
3. Lipton AJ, Fujiyoshi H, Patil RS. Moving target classification and tracking from real-time video. DARPA Image Understanding Workshop 1998;1:129-136.
4. Collins RT, Tsin Y, Miller JR, Lipton AJ. Using a DEM to determine geospatial object trajectories. DARPA Image Understanding Workshop 1998;1:115-122.
5. Mori T, Kamisuwa Y, Mizoguchi H, Sato T. Action recognition system based on human finder and human tracker. Proc Int Conf Intelligent Robots and Systems (IROS), p 1334-1341, 1997.
6. Grimson WEL, Stauffer C, Romano R, Lee L. Using adaptive tracking to classify and monitor activities in a site. Proc IEEE Computer Vision and Pattern Recognition (CVPR), p 22-29, 1998.
7. Segen J, Pingali S. A camera-based system for tracking people in real time. Proc Int Conf Pattern Recognition (ICPR) 1996;3:63-67.
8. Intille SS, Davis W, Bobick AF. Real-time closed-world tracking. Proc IEEE Computer Vision and Patten Recognition (CVPR), p 697-703, 1997.
9. Johnson N, Hogg D. Learning the distribution of object trajectories for event recognition. Image and Vision Computing 1996;14:609-615.
10. Koller D, Weber J, Huang T, Malik J, Ogasawara G, Rao B, Russell S. Towards robust automatic traffic scene analysis in real-time. Proc Int Conf Pattern Recognition (ICPR) 1994;1:126-131.
11. Ishiguro H. Development of low-cost compact omni-directional vision sensors and their applications. Proc Int Conf Information Systems, Analysis and Synthesis, p 433-439, 1998.
12. Okutomi M, Kanade T. A multiple-baseline stereo. IEEE Trans PAMI 1993;15:353-363.
13. Kanade T, Yoshida A, Oda K, Kano H, Tanaka M. Stereo machine for video-rate dense depth mapping and its new applications. Proc IEEE Computer Vision and Pattern Recognition (CVPR), p 196-202, 1996.
14. Ishiguro H, Yamamoto M, Tsuji S. Omni-directional stereo. IEEE Trans PAMI 1992; 14:257-262.
15. Yachida M. 3-D data acquisition by multiple views. 3rd International Symposium on Robotics Research (1985). MIT Press; 1986. p 11-18.
16. Gurewitz E, Dinstein I, Sarusi B. More on the benefit of a third eye. Proc Int Conf Pattern Recognition (ICPR), p 966-968, 1986.
17. Pattipati KR, Deb S, Bar-Shalom Y, Washburn RB. A new relaxation algorithm and passive sensor data association. IEEE Trans Autom Control 1992;37:198-213.
18. Shams S. Neural network optimization for multi-target multi-sensor passive tracking. Proc IEEE 1996;84:1442-1457.
19. Sastry CR, Kamen EW, Simaan M. An efficient algorithm for tracking the angles of arrival of moving targets. IEEE Trans Signal Process 1991;39:242-246.
20. Yamamoto J, Ohya J, Ishii K. Recognizing human action in time-sequential images using hidden Markov models. Proc IEEE Computer Vision and Pattern Recognition (CVPR), p 379-387, 1992.
21. Smith P, Buechler G. A branching algorithm for discriminating and tracking multiple objects. IEEE Trans Autom Control 1975;20:101-104.
22. Morefield CL. Application of 0-1 integer programming to multitarget tracking problems. IEEE Trans Autom Control 1977;22:302-312.
23. Bar-Shalom Y. Tracking methods in a multitarget environment. IEEE Trans Autom Control 1978;23:618-626.
24. Reid DB. An algorithm for tracking multiple targets. IEEE Trans Autom Control 1979;24:843-854.