Probabilistic Background Model by Density Forests for Tracking
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Yuji Iwahori | Boonserm Kijsirikul | Shinji Fukui | Manas Kamal Bhuyan | Tsuyoshi Nakamura | Daimu Oiwa
[1] Yuji Iwahori,et al. Robust Tracking Method to Intersections of Objects with Similar Patterns , 2010 .
[2] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[3] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[4] Alberto Del Bimbo,et al. Particle filter-based visual tracking with a first order dynamic model and uncertainty adaptation , 2011, Comput. Vis. Image Underst..
[5] Antonio Criminisi,et al. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning , 2012, Found. Trends Comput. Graph. Vis..
[6] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[7] Frank Dellaert,et al. An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets , 2004, ECCV.
[8] Yuji Iwahori,et al. Robust tracking method based on particle filter for crossing of targets with similar appearances , 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.
[9] Nakada Yohei,et al. Semi-supervised learning scheme using Dirichlet process EM-algorithm (コンピュータビジョンとイメージメディア) , 2009 .
[10] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .