Fusion tracking in color and infrared images using sequential belief propagation

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2008, Pages 2259-2264

  Liu, Huaping ^a   Sun, Fuchun ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR; FUSION REACTIONS; IMAGE ENHANCEMENT; IMAGING SYSTEMS; INDUSTRIAL ENGINEERING; MESSAGE PASSING; OPTICAL PROPERTIES; ROBOTICS;

BELIEF PROPAGATION; INFRARED IMAGES; INTERNATIONAL CONFERENCES; VISUAL TRACKING;

IMAGE FUSION;

EID: 51649092224     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2008.4543550     Document Type: Conference Paper

References (27)

1. J.L.Blanco, J.A.Fernandez, J.Gonzalez, An entropy-based measurement of certainty in Rao-Balckwelized particle filter mapping, Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2006, pp.3550-3555
2. L. Brethes, F.Lerasle, P.Danes, Data fusion for visual tracking dedicated to human-robot interaction, in: Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), 2005, pp.2075-2080
3. F. Bunyak, K. Palaniappan, S. K. Nath, G. Seetharaman, Geodesic active contour based fusion of visible and infrared video for persistent object tracking, in: Proc. of IEEE Workshop on Applications of Computer Vision (WACV), 2007, pp.35-35
4. C. Ò. Conaire, N. E. O'Connor, E. Cooke, A. F. Smeaton, Comparison of fusion methods for thermo-visual surveillance tracking, in: Proc. of Int. Conf. on Information Fusion, 2006, pp.1-7
5. C. Ò. Conaire, N. E. O'Connor, A. F. Smeaton, Thermo-visual feature fusion for object tracking using multiple spatiogram trackers, Machine Vision and Applications, 2007
6. N. Cvejic, S. G. Nikolov, H. D. Knowles, A. Loza, A. Achim, D. R. Bull, C. N. Canagarajah, The effect of pixel-level fusion on object tracking in multi-sensor surveillance video, in: Proc. of Computer Vision and Pattern Recognition (CVPR), 2007, pp.1-7
7. J. Davis, V. Sharma. Fusion-based background subtraction using contour saliency, in: Proc. of IEEE Int. Workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 2005, pp.1-8
8. A. Doucet, N. de Freitas, N. Gordon, Sequential Monte Carlo Methods in Practice, Springer-Verlag, New York, 2001
9. W. Du, J. Piater, Multi-view object tracking using sequential belief propogation, in: Proc. of Asian Conf. on Computer Vision (ACCV), 2006, pp.684-693
10. A. Gning, F. Abdallah, P. Bonnifait, A new estimation method for multisensor fusion by using interval analysis and particle filtering, in: Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), 2007, pp.3844-3849
11. D. Hahnel, W. Burgard, D. Fox, S. Thrun, An efficient FastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements, in: Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2003, pp.206-211
12. G. Hua, Y. Wu, Multi-scale visual tracking by sequential belief propogation, in: Proc. of Computer Vision and Pattern Recognition (CVPR), 2004, pp.826-833
13. M. Isard, A. Blake, Condensation - conditional desity propagation for visual tracking, Int. J. of Computer Vision, vol.29, no.1, 1998, pp.5-28
14. M. Isard, PAMPAS: Real-valued graphical models for computer vision, in: Proc. of Computer Vision and Pattern Recognition (CVPR), 2003, pp.613-620
15. Y. Li, H. Ai, C. Huang, S. Lao, Robust head tracking based on a multi-state particle filter, in: Proc. of Face and Gesture Recognition (FGR), 2006, pp.335-340
16. E. Maggio, F. Smeraldi, A. Cavallaro, Combining colour and orientation for adaptive particle filter-based tracking. in: Proc. of British Machine Vision Conference, 2005, pp.1-10
17. P. Perez, J. Vermaak, A. Blake, Data fusion for visual tracking with particles, Proc. of IEEE, vol.92, no.3, 2004, pp.495-513
18. F. Porikli, O. Tuzel, Fast construction of covariance matrices for arbitrary size image windows, in: Proc. of Int. Conf. on Image Processing (ICIP), 2006, pp.1581-1584
19. F. Porikli, O. Tuzel, P. Meer, Covariance tracking using model update based on Lie algebra, in: Proc. of Computer Vision and Pattern Recogntion (CVPR), 2006, pp.728-735
20. M. I. Smith, J. P. Heather, A review of image fusion technology in 2005, in: Proc. of SPIE, vol.5782, 2005, pp.29-45
21. E. B. Sudderth, A. T. Ihler, W. T. Freeman, A. S. Willsky, Nonparametric belief propagation, in: Proc. of Computer Vision and Pattern Recogntion (CVPR), 2003, pp.605-612
22. O. Tuzel, F. Porikli, P. Meer, Region covariance: A fast descriptor for detection and classification, in: Proc. of European Conf. on Computer Vision (ECCV), 2006, pp.589-600
23. O. Tuzel, F. Porikli, P. Meer, Human detection via classification on Riemannian manifolds, in: Proc. of Computer Vision and Pattern Recogntion (CVPR), 2007, pp.1-8
24. P.Viola, M.J.Jones, Robust real-time face detection, Int. J. Computer Vision, vol.52, no.2, 2004, pp.137-154
25. L. Walchshäausl, R. Lindl, Multi-sensor classification using a boosted cascade detector, in: Proc. of the IEEE Intelligent Vehicles Symposium, 2007, pp.1045-1049
26. X. Xu, B. Li, Head tracking using particle filter with intensity gradient and color histogram, IEEE International Conference on Multimedia and Expo (ICME), 2005, pp.888-891
27. http://www.cse.ohio-state.edu/OTCBVS-BENCH