Information-theoretic active scene exploration

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Sommerlade, Eric ^a   Reid, Ian ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CAMERAS; COMPUTER VISION; CONTROL THEORY; FEATURE EXTRACTION; IMAGE PROCESSING; INFORMATION THEORY; LENSES; OPTICAL INSTRUMENTS; PARAMETER ESTIMATION; PATTERN RECOGNITION; POISSON DISTRIBUTION;

CAMERA PARAMETERS; CONDITIONAL ENTROPY; FIELD OF VIEWS; HIGH RESOLUTIONS; HIGH-RESOLUTION IMAGERY; IMAGING RESOURCES; INFORMATION CONTENTS; INFORMATION GAIN; INFORMATION-THEORETIC APPROACH; MULTIPLE TARGETS; POISSON PROCESSES; QUALITATIVE ANALYSIS; REAL-WORLD ENVIRONMENTS; SCENE MODELING; SURVEILLANCE VIDEOS; WIDE FIELD OF VIEW; ZOOM LENSES;

SECURITY SYSTEMS;

EID: 51949112705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587522     Document Type: Conference Paper

References (19)

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, pages 121-130, New York, NY, USA, 2005. ACM.
2. Y. Bar-Shalom and T. E. Fortmann. Tracking and data association, volume 179 of Mathematics in Science and Engineering. Academic Press Professional, Inc., San Diego, CA, USA, 1987.
3. F. Bashir and F. Porikli. Collaborative tracking of objects in EPTZ cameras. In C. W. Chen, D. Schonfeld, and J. Luo, editors, Visual Communications and Image Processing 2007, volume 6508. SPIE, 2007.
4. 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, pages 39-45, New York, NY, USA, 2004. ACM Press.
5. J. Davis, A. Morison, and D. Woods. An adaptive focus-of-attention model for video surveillance and monitoring. Machine Vision and Applications, 18(1):41-64, February 2007.
6. 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, pages 400-407. IEEE Computer Society, 2003.
7. U. M. Erdem and S. Sclaroff. Look there! predicting where to look for motion in an active camera network. In IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2005), pages 105-110, 2005.
8. J. Gonzàlez, X. F. Roca, and J. J. Villanueva. Hermes: A research project on human sequence evaluation. In Computational Vision and Medical Image Processing (VipIMAGE'2007), Porto, Portugal, 2006. IEEE.
9. S. Gould, J. Arfvidsson, A. Kaehler, B. Sapp, M. Meissner, G. Bradski, P. Baumstarck, S. Chung, and A. Y. Ng. Peripheral-foveal vision for real-time object recognition and tracking in video. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), 2007.
10. 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, 2003. IEEE Computer Society.
11. N. Johnson and D. Hogg. Learning the distribution of object trajectories for event recognition. In BMVC '95: Proceedings of the 6th British conference on Machine vision (Vol. 2), pages 583-592, Surrey, UK, UK, 1995. BMVA Press.
12. D. Makris and T. Ellis. Automatic learning of an activity-based semantic scene model. In IEEE Conference on Advanced Video and Signal Based Surveillance, pages 183-188, 2003.
13. P. J. Phillips, W. T. Scruggs, A. J. O'Toole, P. J. Flynn, K. W. Bowyer, C. L. Schott, and M. Sharpe. FRVT 2006 and ICE 2006 large-scale results. Technical Report NISTIR 7408, National Institute of Standards and Technology, 2007.
14. 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, pages 1-8, 2007.
15. D. Rother, K. A. Patwardhan, and G. Sapiro. What can casual walkers tell us about a 3D scene? In 11th IEEE International Conference on Computer Vision. IEEE Computer Society, 2007.
16. N. Roy and C. Earnest. Dynamic action spaces for information gain maximization in search and exploration. In Proceedings of the American Control Conference (ACC 2006), Minneapolis, USA, 2006. IEEE.
17. C. Stauffer andW. E. L. Grimson. Learning patterns of activity using real-time tracking. Transactions on Pattern Analysis and Machine Intelligence, 22(8):747-757, 2000.
18. B. Tordoff and D. Murray. A method of reactive zoom control from uncertainty in tracking. Computer Vision and Image Understanding, 105:131-144, 2007.
19. F. Yin, D. Makris, and S. A. Velastin. Performance evaluation of object tracking algorithms. In 10th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS2007), Rio de Janeiro, Brazil, October 2007.