A visible/infrared fusion algorithm for distributed smart cameras

IEEE Journal on Selected Topics in Signal Processing

Volumn 2, Issue 4, 2008, Pages 514-525

  Chen, Cheng Yao ^a   Lin, Tai Ming ^b   Wolf, Wayne H ^b  

^a Princeton University   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Adaptation model; Cameras; Light sources; Lighting; Pixel; Reflectivity; Tracking

Indexed keywords

BOOLEAN FUNCTIONS; CAMERAS; COMBINES; DATA FUSION; ELECTROMAGNETIC WAVES; FUSION REACTIONS; HIERARCHICAL SYSTEMS; LIGHT; LIGHT SOURCES; LIGHTING; PIXELS;

ADAPTATION MODEL; BACKGROUND SUBTRACTIONS; DISTRIBUTED SMART CAMERAS; FUSION ALGORITHMS; GAUSSIAN; GLOBAL ILLUMINATION CHANGES; HIERARCHICAL; HIERARCHICAL MODELS; MULTISPECTRAL; PROBABILISTIC MODELS; RANDOM PARAMETERS; REFLECTIVITY; SPECTRAL CHANNELS; TRACKING; VIDEO SURVEILLANCES;

SECURITY SYSTEMS;

EID: 54049138883     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2008.2001309     Document Type: Article

References (12)

1. C.-Y. Chen and W. Wolf, "Background modeling and object tracking using multi-spectral sensors," in Proc. ACM Int. Workshop on Video Surveillance and Sensor Networks, 2006, pp. 27-34.
2. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 1999, pp. 246-252.
3. O. Javed, K. Shaphique, and M. Shah, "A hierarchical approach to robust background subtraction using color and gradient information," in Proc. IEEE Int. Workshop on Motion and Video Computing, 2006, pp. 22-27.
4. C. Ó. Conarie, E. Cooke, N. O'Connor, N. Murphy, and A. Smeaton, "Background modeling in infrared and visible spectrum video for people tracking," in Proc. IEEE Int. Workshop on Object Tracking and Classification in and beyond Visible Spectrum, 2005.
5. C. Ó. Conarie, E. Cooke, N. O'Connor, N. Murphy, and A. Smeaton, "Multispectral object segmentation and retrieval in surveillance video," in Proc. IEEE Int. Conf. Image Processing, 2006, pp. 2381-2384.
6. H. Torresan, B. Turgeon, C. Ibarra-Castanedo, P. Herbert, and X. Maldague, "Advanced surveillance systems: Combining video and thermal imagery for pedestrian detection," in Proc. SPIE Thermalsense, 2004, pp. 506-515.
7. R. Cucchiara, C. Grana, M. Pocardi, and A. Prati, "Detecting moving objects, ghosts, and shadows in video streams," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 10, pp. 1337-1352, 2003.
8. D. Scribner, P. Warren, and J. Schuler, "Extending color vision methods to bands beyond the visible," J. Mach. Vis. Applicat., vol. 11, no. 6, pp. 306-312, 2000.
9. M. Isard and J. MacCormick, "Bramble: A bayesian multiple-blob tracker," in Proc. IEEE Int. Conf. on Computer Vision, 2001, pp. 34-41.
10. A. M. Elgammal and L. S. Davis, "Probabilistic framework for segmenting people under occlusion," in Proc. IEEE Int. Conf. Computer Vision 2001, pp. 145-152.
11. J. Davis and V. Sharma, "Fusion-based background-subtraction using contour saliency," in Proc. IEEE Int. Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum, 2005.
12. K. Turkowski, The Use of Coordinate Frames in Computer Graphics, Apple Tech. Rep. KT-20, 1989.