Optimized Pedestrian Detection for Multiple and Occluded People
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[1] José García,et al. Real-Time Tabu Search for Video Tracking Association , 2009, CP.
[2] Charless C. Fowlkes,et al. Discriminative Models for Multi-Class Object Layout , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[3] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[4] David Gerónimo Gómez,et al. Survey of Pedestrian Detection for Advanced Driver Assistance Systems , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Ramakant Nevatia,et al. Tracking multiple humans in crowded environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[6] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Ivan Laptev,et al. Density-aware person detection and tracking in crowds , 2011, ICCV.
[9] Sharath Pankanti,et al. Hand tracking by binary quadratic programming and its application to retail activity recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Ramin Zabih,et al. Dynamic Programming and Graph Algorithms in Computer Vision , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Ming-Wei Chang,et al. Learning shared body plans , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Wen Gao,et al. Granularity-tunable gradients partition (GGP) descriptors for human detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Yanxi Liu,et al. Surveillance Camera Autocalibration based on Pedestrian Height Distributions , 2011 .
[16] Ramakant Nevatia,et al. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[17] Gintaras Palubeckis,et al. Multistart Tabu Search Strategies for the Unconstrained Binary Quadratic Optimization Problem , 2004, Ann. Oper. Res..
[18] Ramakant Nevatia,et al. Bayesian human segmentation in crowded situations , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[19] Robert T. Collins,et al. Marked point processes for crowd counting , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Jorge J. Moré,et al. Computing a Trust Region Step , 1983 .
[21] Larry S. Davis,et al. Human detection using partial least squares analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[22] Fred Glover,et al. Tabu Search: A Tutorial , 1990 .
[23] P. Bickel,et al. Efficient blind search: Optimal power of detection under computational cost constraints , 2007, 0712.1663.
[24] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[25] Yanxi Liu,et al. Automatic Surveillance Camera Calibration without Pedestrian Tracking , 2011, BMVC.