A generalized region-based approach for multi-target tracking in outdoor environments

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2004, Issue 3, 2004, Pages 2189-2195

  Jung, Boyoon ^a   Sukhatme, Gaurav S ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY ESTIMATION; MULTI-TARGET TRACKING; REGION-BASED APPROACH; ROBOTIC DENSITY;

COMPUTER ARCHITECTURE; MOTION PLANNING; NAVIGATION; POSITION CONTROL; SENSORS; TOPOLOGY; TRACKING (POSITION); VIRTUAL REALITY;

MOBILE ROBOTS;

EID: 3042581404     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. L. E. Parker, "Cooperative robotics for multi-target observation," Intelligent Automation and Soft Computing, special issue on Robotics Research at Oak Ridge National Laboratory, vol. 5, no. 1, pp. 5-19, 1999.
2. B. B. Werger and M. J. Matarić, "Broadcast of local eligibility for multi-target observation," in Proceedings of Distributed Autonomous Robotic Systems, 2000.
3. B. Gerkey and M. J. Matarić, "Principled communication for dynamic multi-robot task allocation," in Experimental Robotics, ser. VII, D. Rus and S. Singh, Eds., vol. LNCIS 271, Springer-Verlag Berlin Heidelberg, 2001, pp. 353-362.
4. J. R. Spletzer and C. J. Taylor, "Dynamic sensor planning and control for optimally tracking targets," International Journal of Robotics Research (IJRR), vol. 22, no. 1, pp. 7-20, January 2003.
5. R. Murrieta-Cid, H. González-Baños, and B. Tovar, "A reactive motion planner to maintain visibility of unpredictable targets," in the Proceeding of IEEE International Conference on Robotics and Automation, Washington DC, May 2002, pp. 4242-4247.
6. B. Jung and G. S. Sukhatme, "Tracking targets using multiple robots: The effect of environment occlusion," Autonomous Robots, vol. 13, no. 3, pp. 191-205, 2002.
7. B. Jung and G. S. Sukhatme, "Detecting moving objects using a single camera on a mobile robot in an outdoor environment," in submission to the 8th Conference on Intelligent Autonomous Systems, 2004.
8. A. Censi, A. Fusiello, and V. Roberto, "Image stabilization by features tracking," in Proceedings of the 10th International Conference on Image Analysis and Processing, Venice, Italy, September 1999, pp. 665-667.
9. D. Fox, "KLD-sampling: Adaptive particle filter," in Advances in Neural Information Processing Systems 14. MIT Press, 2001.
10. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, 2001.
11. G. Welch and G. Bishop, "An introduction to the kalman filter," Department of Computer Science, University of North Carolina at Chapel Hill, Tech. Rep. 95-041.
12. I. Ulrich and J. Borenstein, "VFH+: Reliable obstacle avoidance for fast mobile robots," in Proceeding of the IEEE International Conference on Robotics and Automation, Leuven, Belgium, May 16-21 1998, pp. 1572-1577.