Gaussian mixture models and split-merge algorithm for parameter analysis of tracked video objects

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2009, Pages 4155-4158

  Yin, GuoQing ^a   Bruckner, Dietmar ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Clustering; Gaussian mixture models; Object tracking; Parameter analysis; Real time analysis; Split merge algorithm

Indexed keywords

ABNORMAL BEHAVIOR; DISCRETE RANDOM VARIABLES; GAUSSIAN MIXTURE MODEL; MOVING OBJECTS; OBJECT TRACKING; PARAMETER ANALYSIS; REAL TIME; REAL TIME ANALYSIS; STATISTICAL MODELS; TIME PERIODS; VIDEO DATA; VIDEO FRAME; VIDEO OBJECTS;

CLUSTER ANALYSIS; COMMUNICATION CHANNELS (INFORMATION THEORY); INDUSTRIAL ELECTRONICS; MIXTURES; MOTION COMPENSATION; MOTION ESTIMATION; PARAMETER ESTIMATION; RANDOM PROCESSES; RANDOM VARIABLES; TRACKING (POSITION); VIDEO RECORDING;

CLUSTERING ALGORITHMS;

EID: 77951523615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2009.5415088     Document Type: Conference Paper

References (16)

1. Pierre Hansen, Brigitte Jaumard (1997). "Cluster analysis and mathematical programming", in Mathematical Programming 79 191.215.
2. C. Fraley and A. E. Raftery (1998). "How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis", in Technical Report No. 329, Department of Statistics, University of Washington.
3. Chris Fraley and Adrian E. Raftery (2006). "MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering", in Technical Report No. 504, Department of Statistics, University of Washington.
4. Daniel Z. Zanger (2003). "Concentration of measure and cluster analysis" in Statistical & Probability Letters 65 65-70.
5. Shih-Sian Cheng, Hsin-Min Wang, Hsin-Chia Fu (2004). "A Model- Selection-Based Self-Splitting Gaussian Mixture Learing with Application to Speaker Identification", in EURASIP Journal on Applied Signal Processing 17, 2626-2639. (Pubitemid 40359917)
6. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffery E. Hinton (1998). "SPLIT AND MERGE EM ALGORITHM FOR IMPROVING GAUSSIAN MIXTURE DENSITY ESTIMATES", 0- 7803-5060-X/98, IEEE 274.
7. SYLVIA RICHARDSON, PETER J. GREEN (1997), "On Bayesian Analysis of Mixtures with an Unknown Number of Components" , in J. R. Statist. Soc.B 59, No.4, pp. 731-792.
8. Jinwen Ma and Qicai He (2005). "A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection", Department of Information Science, School of Mathematical Science and LMAM, Peking University, Beijing, 100871, China.
9. Zhihua Zhang, Chibiao Chen, Jian Sun, Kap Luk Chan (2003). "EM algorithms for Gaussian mixture with split-and-merge operation" in Pattern Recognition 36 1973-1983.
10. Eran Swears, Anthony Hoogs and A.G. Amitha Perera, Kitware Inc (2008). "HMM-Based Clustering for Learning Motion Patterns in Surveillance Video".
11. Guanglei Xiong, Chao Feng, Liang Ji (2006). "Dynamical Gaussian mixture model for tracking elliptical living objects", in Pattern Recognition Letters 27 838-842.
12. Jacinto C. Nascimento and Jorgs S. Marques (2006). "Performance Evaluation of Object Detection Algorithms for Video Surveillance", in IEEE TRANSACTIONS ON MULTIMEDIA, VOL 8, NO, 4.
13. http://www.sense-ist.org (SENSE project website).
14. D. Bruckner, J. Kasbi, R. Velik, and W. Herzner (2008). "High-level Hierarchical Semantic Processing Framework for Smart Networks", In: Proceedings of the 2008 IEEE Conference on Human System Interaction (HSI), S. 6, Krakow.
15. B. Sallans, D. Bruckner, and G. Russ (2006). "Statistical Detection of Alarm Conditions in Building Automation Systems", In: Proceedings of 2006 IEEE International Conference of Industrial Informatics INDIN'06, S. 6, Singapore.
16. D. Bruckner, B. Sallans, and G. Russ (2007). "Hidden Markov Models for Traffic Observation", In: Proceedings of 2007 IEEE International Conference on Industrial Informatics INDIN07, S. 1015-1020. (Pubitemid 351306943)