Multimodal mean adaptive backgrounding for embedded real-time video surveillance

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Apewokin, S ^a   Valentine, B ^a   Wills, L ^a   Wills, S ^a   Gentile, A ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF PALERMO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATION THEORY; FUNCTIONAL ANALYSIS; IMAGE ANALYSIS; PIXELS; REAL TIME SYSTEMS;

ADAPTIVE TECHNIQUE; AUTOMATED VIDEO SURVEILLANCE; INTEGRATED SURVEILLANCE SYSTEM; MULTIMODAL MEAN;

EMBEDDED SYSTEMS;

EID: 34948898548     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383418     Document Type: Conference Paper

References (11)

1. Cheung, S. and Kamath, C. "Robust techniques for background subtraction in urban traffic video," Video Communications and Image Processing, Volume 5308, pp. 881-892, SPIE Electronic Imaging, San Jose, January 2004.
2. C. Stauffer and W.E.L Grimson, "Adaptive background mixture models for real-time tracking", Computer Vision and Pattern Recognition, pp 246-252, June 1999.
3. Radke, R.J., Andra, S., Al-Kofahi, O., Roysam.B., "Image change detection algorithms: A systemic survey," IEEE Trans. on Image Processing, 14(3) pp. 294-307, March 2005.
4. Piccardi, M., "Background subtraction techniques: a review," IEEE International Conference on Systems, Man and Cybernetics, Vol 4., pp. 3099-3104, October 2004.
5. Toyama, K., Krumm, J., Brummitt, B., and Meyers, B., "Wallflower: Principles and Practices of Background Maintenance," in Proc. of ICCV (1), pp. 255-261, 1999; Wallflower benchmarks available online at research.microsoft.com/~jckrumm/WallFlower/TestImages.htm.
6. N. McFarlane and C.Schofield, "Segmentation and tracking of piglets in images," Machine Vision and Applications 8(3), pp. 187-193, 1995.
7. Jabri, S., Duric, Z., Wechsler, H., and Rosenfeld, A., "Detection and location of people in video images using adaptive fusion of color and edge information," IEEE International Conference on Pattern Recognition, pp. 627-630, vol 4., September 2000.
8. Wren, C. R., Azarbayejani, A., Darell, T., Pentland, A.P., "Pfindenreal-time tracking of human body," IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7), pp.780-785, July 1997.
9. Appiah, K., Hunter, A., "A single-chip FPGA implementation of real-time adaptive background model," IEEE International Conference on Field-Programmable Technology, pp. 95-102, December 2005.
10. DMP Electronics Inc., "VESA PC eBox-2300 Users Manual," September 2006.
11. Silicon Integrated Systems Corp., "SiS55x Family Datasheet," Rev 0.9, 14 March 2002.