A hybrid framework for event detection using multi-modal features

作者: Ehtesham Hassan , Santanu Chaudhury , M Gopal , Vikram Garg

DOI: 10.1109/ICCVW.2011.6130429

关键词:

摘要: The paper presents a novel approach for event detection in sports videos by topic based graphical model learning. characteristics features defining various sport events are extracted contextual grouping of low-level video and audio using modeling. Event is performed learning the structure context distribution characteristic CRF model. Experimental evaluation proposed concept presented on recorded Handball Soccer game.

参考文章(22)
Geert Willems, Tinne Tuytelaars, Luc Van Gool, An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector Lecture Notes in Computer Science. pp. 650- 663 ,(2008) , 10.1007/978-3-540-88688-4_48
M. J. Hunt, C. Lefebvre, Distance measures for speech recognition National Aeronautical Establishment, Aeronautical Note NAE-AN-57, NRC no 30144. ,vol. 91, pp. 29394- ,(1989)
David M Blei, Andrew Y Ng, Michael I Jordan, None, Latent dirichlet allocation Journal of Machine Learning Research. ,vol. 3, pp. 993- 1022 ,(2003) , 10.5555/944919.944937
Yi Ding, Guoliang Fan, Event detection in sports video based on generative-discriminative models Proceedings of the 1st ACM international workshop on Events in multimedia. pp. 17- 24 ,(2009) , 10.1145/1631024.1631030
Heng Wang, Muhammad Muneeb Ullah, Alexander Klaser, Ivan Laptev, Cordelia Schmid, Evaluation of local spatio-temporal features for action recognition british machine vision conference. pp. 1- 11 ,(2009) , 10.5244/C.23.124
Marten Pijl, Steven van de Par, Caifeng Shan, An event-based approach to multi-modal activity modeling and recognition ieee international conference on pervasive computing and communications. pp. 98- 106 ,(2010) , 10.1109/PERCOM.2010.5466986
Ivan Laptev, On Space-Time Interest Points international conference on computer vision. ,vol. 64, pp. 107- 123 ,(2005) , 10.1007/S11263-005-1838-7
J. Sivic, B.C. Russell, A.A. Efros, A. Zisserman, W.T. Freeman, Discovering objects and their location in images international conference on computer vision. ,vol. 1, pp. 370- 377 ,(2005) , 10.1109/ICCV.2005.77
Fei-Fei Li, P. Perona, A Bayesian hierarchical model for learning natural scene categories computer vision and pattern recognition. ,vol. 2, pp. 524- 531 ,(2005) , 10.1109/CVPR.2005.16
Douglas L. Vail, Manuela M. Veloso, John D. Lafferty, Conditional random fields for activity recognition adaptive agents and multi-agents systems. pp. 235- ,(2007) , 10.1145/1329125.1329409