Experiential sampling for video surveillance

1st ACM SIGMM International Workshop on Video Surveillance, IWVS 2003

Volumn , Issue , 2003, Pages 77-86

  Wang, Jun ^a   Kankanhalli, Mohan S ^b   Yan, Weiqi ^b   Jain, Ramesh ^c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c Georgia Institute of Technology   (Singapore)

Author keywords

Dynamical systems; Experiential computing; Real time; Sampling; Video surveillance

Indexed keywords

CAMERAS; COMPUTER GRAPHICS; DYNAMICAL SYSTEMS; MONITORING; MULTIMEDIA SYSTEMS; OBJECT DETECTION; REAL TIME SYSTEMS; SAMPLING; VIDEO CAMERAS; VIDEO STREAMING;

EFFICIENT MONITORING; EXPERIENCE INFORMATIONS; EXPERIENTIAL COMPUTING; MULTIPLE SURVEILLANCE CAMERAS; REAL TIME; REAL TIME MONITORING; REAL TIME VIDEO SURVEILLANCES; VIDEO SURVEILLANCE;

SECURITY SYSTEMS;

EID: 84945921158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/982452.982462     Document Type: Conference Paper

References (28)

1. Carpenter, J. Clifford, P. and Fearnhead, P. Building Robust Simulation-based Filters for Evolving Data Sets. Technical report, University of Oxford, Dept. of Statistics, 1999.
2. Duda, R. O. Hart, P. E. and Stork, D. G. Pattern Classification. Wiley Interscience, 2000.
3. Doucet, A., Godsill, S. J., and Andrieu, C. On sequential Monte Carlo sampling methods for Bayesian filtering. Statist. Comp., 10:197-208, 2000.
4. Foresti, G. L. Mahoen, P. and Regazzoni, C. Multimedia Video-Based Surveillance System, Requirements, Issues and Solutions. Kluwer Academic Publishers, 2002, USA.
5. Ghahramani, Z., and Hinton, G. Parameter Estimation for Linear Dynamical Systems. Technical Report CRG-TR-96-2, Dept. Comp. Sci., Univ. Toronto, 1996. http://www.cs.toronto.edu/~hinton/absps/tr96-2.html
6. Gordon, N. J. Salmond, D. J. and Smith, A. F. M. Novel approach to nonlinear/Non-Gaussian bayesian state estimation, in IEEE Proceedings, 140(2):107-113, 1993.
7. Granelli, F. Oberti, F. and Regazzoni, C. S. Adaptive postprocessing error concealment based on feedback from a video-surveillance system, in Proceedings of ICIP 2000, (Vancouver, Canada, September 2000).
8. Isard, M. and Blake, A. Condensation-conditional Density Propagation for Visual Tracking. International Journal on Computer Vision, 29(1):5-28, 1998.
9. Isaac, C. Medioni, G. Detecting and tracking moving objects for video surveillance, in Proceedings of ICPR (Fort Collins CO. Jun. 23-25, 1999).
10. Jain, R. Experiential Computing, Communications of the ACM, 46(7):48-55, July 2003.
11. Jain, R. Out-of the-Box Data Engineering. Keynote Address at International Conference on Data Engineering (ICDE 2003), March 2003.
12. Jain, R. Semantics in Multimedia Systems. Keynote Address at International Conference on Multi-Media Modeling (MMM 2003), Taipei, January 2003.
13. Lienhart, R. Christoph, K. and Wolfgang, E. On the detection and recognition of television commercials, in Proceedings of IEEE conference on multimedia computing and systems (Ottawa Canada, June 1997), pp. 509-516.
14. Marchesotti, L. Marcenaro, L. Regazzoni C. S. Tracking and counting multiple interacting pedestrian in indoor scenes, in Proceedings of third IEEE international workshop on performance evaluation of tracking and surveillance, (Copenhagen Denmark, June 1, 2002).
15. Marchesotti, L. Marcenaro, L. Regazzoni, C. S. A video surveillance architecture for alarm generation and video sequences retrieval, in Proceedings of ICIP2002 (Rochester NewYork USA, September 2002).
16. Marcenaro, L. Gianluca, G. Regazzoni, C. Adaptive change detection approach for object detection in outdoor scenes under variable speed illumination changes, in Proceedings of Eusipco 2000 (Tampere, Finland).
17. Marcenaro, L. Oberti, F. and Regazzoni, C. Change detection methods for automatic scene analysis by using mobile surveillance cameras, in Proceedings of ICIP 2000, (Vancouver Canada, September 2000).
18. Marcenaro, L. Regazzoni, C. S. Image-stabilization for video-surveillance applications, In Proceedings of ICIP2001 Thessaloniki, Greece, 2001.
19. Oberti, F. Marcenaro, L. Regazzoni, C. S. Real-time change detection methods for video-surveillance systems with mobile camera, in Proceedings of XI EUSIPCO2002, Toulouse France, September 2002.
20. Regazzoni, C. Fabri, G. and Vernazzza, G. Advanced Video-based Surveillance System. Kluwer Academic Publishers, 2002, USA.
21. Remagnio, P. Jones, G. Paragios, N. and Regazzoni, C. Video-based Surveillance Systems. Computer vision and Distributed processing. Kluwer Academic Publishers, 2002.
22. Rubin, D. B. Using the SIR Algorithm to Simulate Posterior Distributions (with discussion), in Bayesian Statistics 3, eds. J. M. Bernard, M. H. DeGroot, D. V. Lindley, and A. F. M. Smith, New York: Oxford University Press, pp. 395-402. 1998.
23. Stringa, E. Regazzoni, C. S. Content-based retrieval and real time detection from video sequences acquired by surveillance systems, in Proceedings of ICIP98 (Chicago Illinois, Oct. 1998), Vol. III, pp. 138-142.
24. Stringa, E. Sacchi, C. Regazzoni, C. S. A multimedia system for surveillance of unattended railway stations, in Proceedings of Eusipco1998 (Rhodes Greece, 1998), pp. 1709-1712.
25. Viola, P. and Jones, M. J. Robust real-time object detection. tech. rep. CRL 2001/01, Compaq Cambridge Research Laboratory, Cambridge, MA, 2001.
26. Wang, J. Kankanhalli, M. S. Experience-based Sampling Technique for Multimedia Analysis, in Proceedings of ACM Multimedia Conference 2003.
27. Wu, Y. Jiao, L. Wu, G. Chang, E. and Wang, Y. F. Invariant feature extraction and biased statistical inference for video surveillance, in Proceedings of IEEE international conference on advanced video and signal based surveillance (Miami USA, July 2003).
28. http://www.comp. nus.edu.sg/~mohan/ebs/VideoSurveil.htm