Multi-modal tracking of people using laser scanners and video camera

Image and Vision Computing

Volumn 26, Issue 2, 2008, Pages 240-252

  Cui, Jinshi ^a   Zha, Hongbin ^a   Zhao, Huijing ^a   Shibasaki, Ryosuke ^b  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Laser scanner; Multi modal; Multiple people tracking; Surveillance; Video camera

Indexed keywords

ALGORITHMS; COMPUTER VISION; DATA ACQUISITION; LASER APPLICATIONS; ROBUSTNESS (CONTROL SYSTEMS); VIDEO CAMERAS;

LASER-BASED DETECTION; MULTIPLE LASER SCANNERS; MULTIPLE PEOPLE TRACKING; VISUAL TRACKING;

TRACKING (POSITION);

EID: 35848934118     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2007.05.005     Document Type: Article

References (18)

1. Gavrila D. The visual analysis of human movement: a survey. Comput. Vis. Image Und. 73 1 (1999) 82-98
2. 4: real-time surveillance of people and their activities. IEEE Trans. Pattern Anal. Mach. Intell. 22 8 (2000) 809-830
3. Elgammal A.M., and Davis L.S.. Probablistic framework for segmenting people under occlusion. IEEE Conf. Comput. Vis. 2 (2001) 145-152
4. Mckenna S., Jabri S., Duric Z., Rosenfeld A., and Wechsler H. Tracking groups of people. Comput. Vis. Image Und. 80 (2000) 42-56
5. Siebel N.T., and Maybank S. Fusion of multiple tracking algorithm for robust people tracking. Eur. Conf. Comput. Vis. LNCS2353 (2002) 373-387
6. Zhao T., and Nevatia R. Bayesian multiple human segmentation in crowded situations. IEEE Conf. Comput. Vis. Pattern Recog. (2003)
7. Fod A., Howard A., and Mataric M.J. Laser-based people tracking. IEEE Conf. Robotics Auto. (2002) 3025-3029
8. Schulz D., Burgard W., Fox D., and Cremers A.B. Tracking multiple moving objects with a mobile robot. IEEE Conf. Comput. Vis. Pattern Recog. (2001)
9. Zhao H.J., and Shibasaki R. A novel system for tracking pedestrians using multiple single-row laser range scanners. IEEE Trans. SMC Part A: Systems and Humans 35 (2004) 283-290
10. Kluge B., Koehler C., and Prassler E. Fast and robust tracking of multiple moving objects with a laser range finder. IEEE Conf. Robotics Auto. (2001)
11. Blanco J., Burgard W., Sanz R., and Fernandez J.L. Fast face detection for mobile robots by integrating laser range data with vision. Conf. Adv. Robotics (2003)
12. Scheutz M., McRaven J., and Cserey Gy. Fast, reliable, adaptive bimodal people tracking for indoor environments. IEEE Conf. Robots Syst. (2004)
13. Byers Z., Dixon M., Goodier K., Grimm C.M., and Smart W.D. An autonomous robot photographer. IEEE Conf. Robots Syst. (2003)
14. Zhao H.J., and Shibasaki R. A robust method for registering ground-based laser range images of urban outdoor environment. Photo. Eng. Remote Sensing 67 10 (2001) 1143-1153
15. Comaniciu D., Ramesh V., and Meer P. Kernel based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25 5 (2003)
16. Nishimura T., et al. A compact battery-less information terminal (CoBIT) for location-based support systems. SPIE (2002) 4863B-12
17. Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using Off-the-Shelf TV cameras and lenses. IEEE J. Robotics Auto. 4 3 (1987) 323-344
18. Han B., Comaniciu D., Zhu Y., and Davis L. Incremental density approximation and Kernel-based Bayesian filtering for object tracking. IEEE Conf. Comput. Vis. Pattern Recog. (2004)