Object kinematic model: A novel approach of adaptive background mixture models for video segmentation

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2010, Pages 6225-6228

  Yu, Jin ^a   Zhou, Xuan ^a   Qian, Feng ^a  

^a School of Information Science and Engineering   (China)

Author keywords

Adaptive GMM; Background modelling; Background subtraction; Object kinematic model

Indexed keywords

ADAPTIVE GAUSSIAN MIXTURE; ADAPTIVE GMM; BACKGROUND MODELING; BACKGROUND MODELLING; BACKGROUND SUBTRACTION; DYNAMIC MODELING APPROACH; KINEMATIC MODEL; MIXTURE MODEL; OBJECT KINEMATIC MODEL; SPEED-UPS; VIDEO SEGMENTATION; VIDEO SURVEILLANCE;

IMAGE SEGMENTATION; INTELLIGENT CONTROL; PIXELS; SECURITY SYSTEMS;

KINEMATICS;

EID: 77958127775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2010.5554402     Document Type: Conference Paper

References (10)

1. Rafael Muñoz-Salinas, Eugenio Aguirre, Miguel García- Silvente, People detection and tracking using stereo vision and color, Image and Vision Computing, 2007, 25(6):995-1007.
2. Songtao Huang, Majid Ahmadi, M.A. Sid-Ahmed, A hidden Markov model-based character extraction method, Pattern Recognition, 2008, 41(9):2890-2900.
3. C.R. Wren et al., "Pfinder: Real-Time Tracking of the Human Body," IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7).
4. C. Stauffer, W.E. Grimson, Adaptive background mixture models for realtime tracking, Proceedings of the IEEE Computer Vision and Pattern Recognition 2, 1999:246-252.
5. Sik-Yum Lee, Liang Xu, Influence analyses of nonlinear mixed-effects models, Computational Statistics & Data Analysis, 2004, 45(2):321-341.
6. Jian Cheng, Jie Yang, Yue Zhou, Yingying Cui, Flexible background mixture models for foreground segmentation, Image and Vision Computing, 2006, 24: 473-482.
7. G. McLachlan, D. Peel, Finite Mixture Models, Wiley, London, 2000.
8. A. R. Webb, Statistical Pattern Recognition, second ed., Wiley, London, 2002.
9. M.A.T. Figueiredo, A.K. Jain, Unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24 (3):381-396.
10. Z. Zivkovic, F. van der Heijden, Recursive unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26 (5):651-656.