Invariant feature extraction and biased statistical inference for video surveillance

Proceedings - IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2003

Volumn , Issue , 2003, Pages 284-289

  Wu, Yi ^a   Jiao, Long ^a   Wu, Gang ^a   Chang, E ^a   Wang, Yuan Fang ^a  

^a University of California   (United States)

Author keywords

Feature extraction; Video surveillance; Videoconference

Indexed keywords

CAMERAS; EXTRACTION; FEATURE EXTRACTION; MONITORING; MOTION ANALYSIS; SIGNAL DETECTION; STATISTICAL METHODS;

ASYMMETRIC COSTS; DIFFERENT CLASS; ENVIRONMENTAL FACTORS; EVENT DETECTION; INVARIANT FEATURE EXTRACTION; STATISTICAL INFERENCE; VIDEO SURVEILLANCE; VIDEOCONFERENCE;

SECURITY SYSTEMS;

EID: 34147142760     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2003.1217933     Document Type: Conference Paper

References (12)

1. S. Amari and S. Wu. Improving support vector machine classifiers by modifying kernel functions. Neural Networks, 1999.
2. C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 1998.
3. C. J. C. Burges. Geometry and Invariance in Kernel Based Methods. In Adv. in Kernel Methods: Support Vector Learning. MIT Press, 1999.
4. H. Cohn. Conformal Mapping on Riemann Surfaces. Dover Pubns, 1980.
5. I. Pavlidis, V. Morellas, P. Tsiamyrtzis, and S. Harp. Urban surveillance systems: From the laboratory to the commercial world. Proc. of the IEEE, 89(10), 2001.
6. C. Regazzoni and P. K. Varshney. Multisensor surveillance systems based on image and video data. Proc. of the IEEE Conf. on Image Proc., 2002.
7. D. J. Struik. Differential Geometry. Addison-Wesley, Reading, MA, 2 edition, 1961.
8. V. Vapnik. The nature of statistical learning theory. Springer, New York, 1995.
9. K. Veropoulos, N. Cristianini, and C. Campbell. Controlling the sensitivity of support vector machines. Proceedings of the International Joint Conference on Artificial Intelligence, (IJCAI99), 1999.
10. G. Wu and E. Chang. Adaptive feature-space conformal transformation for learning imbalanced data. UCSB Technical Report http://www.mmdb.ece.ucsb.edu/echang/act-fs.pdf, 2003.
11. G. Wu, Y. Wu, L. Jiao, Y.-F. Wang, and E. Chang. Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance. UCSB Technical Report, April 2003.
12. Y. Wu, G. Wu, and E. Chang. A framework for detecting hazardous events. IS&T/SPIE International Conference on Storage and Retrieval for Media Databases, January 2003.