Object-based surveillance video compression using foreground motion compensation

9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Volumn , Issue , 2006, Pages

  Venkatesh Babu, R ^a   Makur, Anamitra ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Surveillance; Video compression; Video object segmentation

Indexed keywords

CODES (SYMBOLS); ERROR ANALYSIS; IMAGE COMMUNICATION SYSTEMS; IMAGE SEGMENTATION; MOTION COMPENSATION;

SA-DCT; SMART SURVEILLANCE; VIDEO OBJECT SEGMENTATION; VIDEO SURVEILLANCE;

IMAGE COMPRESSION;

EID: 34547188055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2006.345186     Document Type: Conference Paper

References (12)

1. A. Vetro, T. Haga, K. Sumi, and H. Sun, "Object-based coding for long-term, archive of surveillance video," in IEEE International Conf. on Multimedia and Expo, July 2003.
2. C. Kim and J-N. Hwang, "Object-based video abstraction, for video surveillance system," IEEE Trans. Circuits and Systems for Video Technology, vol. 12, no. 12, pp. 11281138, Dec. 2002.
3. T. Nishi and H. Fujiyoshi, "Object-based video coding using pixel state analysis," in IEEE Intl. Conference on Pattern Recognition, 2004.
4. R. Venkatesh Babu and K. R. Ramakrishnan, "Recognition of human actions using motion history information extracted from the compressed video," Image and Vision Computing, vol. 22, no. 8, pp. 597-607, Aug. 2004.
5. N. Johnson and D. Hogg, "Learning the distribution of object trajectories for event recognition," Image and Vision Computing, vol. 14, no. 8, pp. 6096,15, 1996.
6. T.Wada and T. Matsuyama, "Multi-object behavior recognition by event driven selective attention method," IEEE Trans. Pattern Anal. Machine Intelligence, vol. 22, pp. 873887, Aug. 2000.
7. A. Elgammal, R. Duraiswami, D. Harwood, and Larry S. Davis, "Background and foreground modeling using nonparametric kernel density estimation, for visual surveillance," Proceedings of the IEEE, vol. 90, no. 7, pp. 11511163, July 2002.
8. C. Stauffer and W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in IEEE International Conference on Computer Vision and Pattern Recognition, 1999, pp. 246-252.
9. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers, "Wallflower: Principles and practice of background maintenance," in International Conference on Computer Vision, 1999, pp. 255-261.
10. T. Sikora and B. Makai, "Shape adaptive dct for generic coding of video," IEEE Trans. Circuits and Systems for Video Technology, vol. 5, no. 1, pp. 59-62, Feb. 1995.
11. H. Freeman, "On the encoding of arbitrary geometric configurations," IRE Trans. Electronic Computers, vol. EC-10, pp. 260-268, June 1961.
12. "Caviar: Context aware vision using image-based active recognition," http://homepages.inf.ed.ac.uk/rbf/CAVIAR/.