Influence of zoom selection on a Kalman filter

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 2565-2571

  Sommerlade, Eric ^a   Reid, Ian ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL ENTROPY; INFORMATION-THEORETIC APPROACH; MEASUREMENT NOISE; SELECTION BASED; SINGLE CAMERAS; SPEED LIMIT; SYSTEM TRACKING; ZOOM LENS;

CONTROL THEORY; INFORMATION THEORY; KALMAN FILTERS;

INTELLIGENT ROBOTS;

EID: 69549110756     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4651096     Document Type: Conference Paper

References (15)

1. A. D. Bagdanov, A. D. Bimbo, and F. Pernici, "Acquisition of high-resolution images through on-line saccade sequence planning," in VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks. New York, NY, USA: ACM, 2005, pp. 121-130.
2. F. Z. Qureshi and D. Terzopoulos, "Surveillance in virtual reality: System design and multi-camera control," in IEEE Conference on Computer Vision and Pattern Recognition, 2007, pp. 1-8.
3. C. J. Costello, C. P. Diehl, A. Banerjee, and H. Fisher, "Scheduling an active camera to observe people," in VSSN '04: Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks. New York, NY, USA: ACM Press, 2004, pp. 39-45. (Pubitemid 40372010)
4. A. Hampapur, S. Pankanti, A. Senior, Y.-L. Tian, L. Brown, and R. Bolle, "Face cataloger: Multi-scale imaging for relating identity to location," in AVSS '03: Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance. Washington, DC, USA: IEEE Computer Society, 2003.
5. A. E. Abdel-Hakim and A. A. Farag, "Robust virtual forces-based camera positioning using a fusion of image content and intrinsic parameters," in 8th International Conference on Information Fusion, vol.1, 2005, pp. 522-529. (Pubitemid 46276253)
6. P. Doubek, I. Geys, T. Svoboda, and L. Van Gool, "Cinematographic rules applied to a camera network," in Omnivis2004: The fifth Workshop on Omnidirectional Vision, Camera Networks and Non-Classical Cameras, P. Sturm, T. Svoboda, and S. Teller, Eds. Prague, Czech Republic: Czech Technical University, 2004, pp. 17-29.
7. M. Greiffenhagen, V. Ramesh, D. Comaniciu, and H. Niemann, "Statistical modeling and performance characterization of a real-time dual camera surveillance system," in CVPR. IEEE Computer Society, 2000, pp. 2335-2342.
8. J. Denzler, M. Zobel, and H. Niemann, "Information theoretic focal length selection for real-time active 3-d object tracking." in 9th IEEE International Conference on Computer Vision. IEEE Computer Society, 2003, pp. 400-407.
9. B. Tordoff and D. Murray, "A method of reactive zoom control from uncertainty in tracking," Computer Vision and Image Understanding, vol.105, pp. 131-144, 2007. (Pubitemid 46161278)
10. -, "Reactive control of zoom while fixating using perspective and affine cameras," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, no.1, pp. 98-112, January 2004.
11. J. Fayman, O. Sudarsky, and E. Rivlin, "Zoom tracking," in Proceedings of the IEEE International Conference on Robotics and Automation, vol.4, May 1998, pp. 2783-2788.
12. Y. Bar-Shalom and T. E. Fortmann, Tracking and data association, ser. Mathematics in Science and Engineering. San Diego, CA, USA: Academic Press Professional, Inc., 1987, vol.179.
13. R. Mehra, "On-line identification of linear dynamic systems with applications to Kalman filtering," IEEE Transactions on Automatic Control, vol.16, no.1, pp. 12-21, February 1971.
14. O. L. R. Jacobs, Introduction to Control Theory, Second Edition. Oxford, UK: Oxford University Press, 1996.
15. D. Roth, P. Doubek, and L. Van Gool, "Bayesian pixel classification for human tracking," in WACV/MOTION 2005, January 2005.