Intelligent video analysis technology for elevator cage abnormality detection in computer vision

ICCIT 2009 - 4th International Conference on Computer Sciences and Convergence Information Technology

Volumn , Issue , 2009, Pages 1252-1258

  Tang, Yi Ping ^a   Wang, Xiao Jun ^a   Lu, Hai Feng ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Behavior feature vector sequence; Computer vision; Hidden Markov Model, HMMs; K means clustering; Violence detection

Indexed keywords

ABNORMALITY DETECTION; ACTIVITY SEQUENCE; BEHAVIOR FEATURE VECTOR SEQUENCE; CENTER OF MASS; FEATURE DATA; FEATURE VECTORS; FOREGROUND REGIONS; INTELLIGENT VIDEO; K-MEANS CLUSTERING; LOG LIKELIHOOD; REAL TIME; SECURITY PROBLEMS; STANDARD VALUES; VIDEO IMAGE;

COMPUTER SCIENCE; COMPUTER VISION; ELEVATORS; HIDDEN MARKOV MODELS; INFORMATION TECHNOLOGY; WATER SUPPLY SYSTEMS;

CLUSTER ANALYSIS;

EID: 77749252516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIT.2009.206     Document Type: Conference Paper

References (11)

1. R.T. Collins, A.J. Lipton, and T. Kanade, "A System for Video Surveillance and Monitoring", Proceedings of American Nuclear Society (ANS) 8th International Topical Meeting on Robotics and Remote Systems, Pittsburgh, USA, 1999.
2. 4: real-time surveillance of people and their activities", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, Vol. 22, Issue. 8, pp. 809-830.
3. H. Shao, L.Y. Li, P. Xiao, and M.K.H. Leung, "ELEVIEW: An Active Elevator Video Surveillance System", Proceedings of Workshop on Human Motion, IEEE Press, California, USA, 2000, pp. 67-72.
4. C. Stauffer, and W.E.L. Grimson, "Adaptive background mixture models for real-time tracking", Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, IEEE press ,Colorado,USA,1999, pp. 246-252.
5. K. Kim, T.H. Chalidabhongse, D. Harwood, and L. Davis, "Real-time foreground-background segmentation using codebook model", Real-Time Imaging, June 2005, Vol.11,Issue. 3, pp. 172-185.
6. R.C. Gonzalez, and R.E. Woods, Digital Image Processing, Publishing House of Electronics Industry, China, 2002.
7. S.P. Lloyd, "Least Squares Quantization in PCM", IEEE Transactions on Information Theory, 1982, Vol. 28, Issue 2, pp. 129-137.
8. L.R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition", Proceedings of the IEEE, 1989, Vol. 77, No. 2, pp. 257-286.
9. P.C. Chung, and C.D. Liu, "A daily behavior enabled hidden Markov model for human behavior understanding", Pattern Recognition, Elsevier Science, New York, USA, 2008, Vol. 41, No. 5, pp. 1589-1597.
10. T.V. Duong, H.H. Bui, D.Q. Phung, and S. Venkatesh, "Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model", Proceeding of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, USA, 2005, Vol. 1, pp. 838-845.
11. T.H. Chen, T.Y. Chen, Z.X. Chen, "An Intelligent People-Flow Counting Method for Passing through a Gate", Proceedings of IEEE Conference on Robotics, Automation and Mechatronics, IEEE press, Bangkok, Thailand ,2006, pp. 1-6...