Bayesian network based multi stream fusion for automated online video surveillance

EUROCON 2005 - The International Conference on Computer as a Tool

Volumn II, Issue , 2005, Pages 995-998

  Arsić, Dejaii ^b   Wallhoff, Frank ^b   Sdvuller, Björn ^b   Rigoll, Gerhard ^a,b  

^a IEEE   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Bayesian networks; Low level features; Multi stream fusion; Video surveillance

Indexed keywords

AIRCRAFT; ONLINE SYSTEMS; PATTERN RECOGNITION; PROBABILITY; REAL TIME SYSTEMS; SECURITY SYSTEMS; TRANSPORTATION;

LOW LEVEL FEATURES; MULTI STREAM FUSION; VIDEO SURVEILLANCE;

BAYESIAN NETWORKS;

EID: 33947310803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/eurcon.2005.1630115     Document Type: Conference Paper

References (9)

1. th International Conference on Multimedia and Expo ICME 2005, Amsterdam, The Netherlands, 06.-08.07.2005.
2. M. Zobl, F. Wallhoff, G. Rigoll "Action Recognition in meeting scenarios using global motion features", in IEEE International Workshop on Performance Evaluation of Tracking and Surveillance(PETS-ICSV), Graz Austria, March 2003, pp 32-36.
3. H. Rowley, S. Baluja "Neural Network Based Face Detection", in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp 23-38, 1998.
4. F.Wallhoff, M.Zobl, and G. Rigoll "Face Tracking in meeting scenarios using omnidirectional views" in Proceedings International Conference on Pattern Recognition (ICPR) 2004, vol. 4, pp 933-936, Aug. 2004
5. M. Isard and A. Blake "Condensation - conitional density propagation for visual tracking" International Journal of Computer Vision, vol 29(1), pp 5-28, 1998
6. N. Cristianni "Support Vector and Kernel Machines" in ICML Tutorials 2001
7. E. Chamiak "Bayesian Networks Without Tears: Making Bayesian Networks more accessible to the probabilistically unsophisticated" AI Magazine, vol. 12 no.4, pp 50-63, 1991
8. B. Schuller, G.Rigoll and M. Lang, "Speech Emotion Recognition combining acoustic features and linguistic information in a hybrid support vector machine belief network architecture", in Proceedings IEEE Intern. Conference on Acoustics, Speech and Signal Processing (ICASSP9, May 2004, vol.1, pp 577-580
9. Zoubin Ghahramani "Learning Dynamic Bayesian Networks", in Lecture Notes in Computer Science, vol. 1387, pp. 168-197, 1998