SFINX: A multi-sensor fusion and mining system

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 2, Issue , 2003, Pages 1128-1132

  Dimitrijević, Zoran ^a   Wu, Gang ^a   Chang, Edward Y ^a  

^a NONE

Author keywords

Event recognition; Real time storage; Video surveillance

Indexed keywords

DATA FUSION; DIGITAL STORAGE; MULTIMEDIA SIGNAL PROCESSING; SECURITY SYSTEMS; SEMANTICS;

CORE COMPONENTS; EVENT DETECTION; EVENT RECOGNITION; MULTI-SENSOR FUSION; MULTIPLE CAMERAS; REAL TIME; SURVEILLANCE SYSTEMS; VIDEO SURVEILLANCE;

SIGNAL PROCESSING;

EID: 77955852345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292636     Document Type: Conference Paper

References (10)

1. S. Amari and S. Wu. Improving support vector machine classifiers by modifying kernel functions. Neural Networks, 12(6):783-789, 1999.
2. C. Burges. Geometry and Invariance in Kernel Based Methods. In Adv. in Kernel Methods: Support Vector Learning. MTT Press, 1999.
3. E. Chang and H. Garcia-Molina. Bubbleup - Low latency fast-scan for media servers. Proceedings of the 5th ACM Multimedia Conference, pages 87-98, November 1997.
4. R. T. Collins, A. J. Lipton, T. Kanade, H. Fujiyoshi, D. Dug-gins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, P. Burt, and L. Wixson. A system for video surveillance and monitoring (VSAM project final report). CMU Technical Report CMU-RI-TR-00-12, 2000.
5. Z. Dimitrijevic, R. Rangaswami, and E. Chang. The XTREAM multimedia system. Proceedings of the IEEE Conference on Multimedia and Expo, August 2002.
6. Z. Dimitrijevic, R. Rangaswami, and E. Chang. Design and implementation of Semi-preemptible IO. Proceeding of the 2nd Usenix FAST, pages 145-158, March 2003.
7. Y. D. Rubinstein and T. Hastie. Discriminative vs. informative learning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, March 1997.
8. G. Wu and E. Chang. Adaptive feature-space conformai transformation for learning unbalanced data. Proceedings of the Twentieth International Conference of Machine Learning (ICML), pages 816-823, August 2003.
9. G. Wu and E. Chang. Class-boundary alignment for learning imbalanced data. Proceedings of the Twentieth International Conference of Machine Learning (ICML) Workshop on Learning from Imbalanced Datasets, pages 49-56, August 2003.
10. G. Wu, Y. Wu, L. Jiao, Y.-F. Wang, and E. Y. Chang. Multi-camera spatio-temporal fusion biased sequence-data learning for video surveillance. ACM International Conference on Multimedia, November 2003.