Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients
暂无分享,去创建一个
[1] Larry S. Davis,et al. Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] K. Takizawa,et al. Video camera system using liquid-crystal polarizing filter to reduce reflected light , 1998 .
[3] L. Davis,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.
[4] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[5] U. Urfer,et al. Integration of systems and services in central monitoring stations (CMS) , 1995, Proceedings The Institute of Electrical and Electronics Engineers. 29th Annual 1995 International Carnahan Conference on Security Technology.
[6] Tomaso A. Poggio,et al. Example-Based Object Detection in Images by Components , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[8] Bernt Schiele,et al. Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo , 2010, ECCV.
[9] Angel D. Sappa,et al. Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection , 2007 .
[10] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Fatih Murat Porikli,et al. Pedestrian Detection via Classification on Riemannian Manifolds , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Alex Pentland,et al. Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Stuart J. Russell,et al. Image Segmentation in Video Sequences: A Probabilistic Approach , 1997, UAI.
[14] Ram Nevatia,et al. Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Charless C. Fowlkes,et al. Multiresolution Models for Object Detection , 2010, ECCV.
[16] Paul A. Viola,et al. Multiple Instance Boosting for Object Detection , 2005, NIPS.
[17] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[18] Wei-Yun Yau,et al. Novel region-based modeling for human detection within highly dynamic aquatic environment , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[19] Jian Zhang,et al. Efficiently Learning a Detection Cascade With Sparse Eigenvectors , 2011, IEEE Transactions on Image Processing.
[20] Tieniu Tan,et al. Boosted local structured HOG-LBP for object localization , 2011, CVPR 2011.
[21] Hakan Cevikalp,et al. Discriminative common vectors for face recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Wei Gao,et al. Adaptive Contour Features in oriented granular space for human detection and segmentation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[23] I. Haritaoglu,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002 .
[24] J Shamir,et al. Polarization and statistical analysis of scenes containing a semireflector. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.
[25] Antonio Torralba,et al. Sharing features: efficient boosting procedures for multiclass object detection , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[26] Ryusuke Miyamoto,et al. Cascade Classifier Using Divided CoHOG Features for Rapid Pedestrian Detection , 2009, ICVS.
[27] Bernt Schiele,et al. A Performance Evaluation of Single and Multi-feature People Detection , 2008, DAGM-Symposium.
[28] Dariu Gavrila,et al. An Experimental Study on Pedestrian Classification , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Ramakant Nevatia,et al. Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Hiroshi Murase,et al. Surface Shape Reconstruction of a Nonrigid Transport Object Using Refraction and Motion , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[31] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Hyung Jeong Yang,et al. Recursive Coarse-to-Fine Localization for Fast Object Detection , 2014 .
[33] Dan Levi,et al. Part-Based Feature Synthesis for Human Detection , 2010, ECCV.
[34] Tomaso A. Poggio,et al. A Trainable System for Object Detection , 2000, International Journal of Computer Vision.
[35] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Xudong Jiang,et al. Asymmetric Principal Component and Discriminant Analyses for Pattern Classification , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Dariu Gavrila,et al. A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2005, International Journal of Computer Vision.
[39] Ramakant Nevatia,et al. Cluster Boosted Tree Classifier for Multi-View, Multi-Pose Object Detection , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[40] 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).
[41] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] B. Schiele,et al. Multi-cue onboard pedestrian detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[43] D. Koller,et al. Towards robust automatic traffic scene analysis in real-time , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[44] Terrance E. Boult,et al. Into the woods: visual surveillance of noncooperative and camouflaged targets in complex outdoor settings , 2001, Proc. IEEE.
[45] Bernt Schiele,et al. Robust Object Detection with Interleaved Categorization and Segmentation , 2008, International Journal of Computer Vision.
[46] Hans-Hellmut Nagel,et al. New likelihood test methods for change detection in image sequences , 1984, Comput. Vis. Graph. Image Process..
[47] Wei Zhang,et al. Real-time Accurate Object Detection using Multiple Resolutions , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[48] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[49] Mei-Chen Yeh,et al. Fast Human Detection Using a Cascade of Histograms of Oriented Gradients , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[50] Chih-Ming Chen,et al. An efficient fuzzy classifier with feature selection based on fuzzy entropy , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[51] Jean-Marc Lavest,et al. Multi-view reconstruction combining underwater and air sensors , 2002, Proceedings. International Conference on Image Processing.
[52] Wen Gao,et al. Granularity-tunable gradients partition (GGP) descriptors for human detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[53] Xudong Jiang,et al. Linear Subspace Learning-Based Dimensionality Reduction , 2011, IEEE Signal Processing Magazine.
[54] Shree K. Nayar,et al. What does motion reveal about transparency? , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[55] Wei-Yun Yau,et al. A Video-Based Drowning Detection System , 2002, ECCV.
[56] Pietro Perona,et al. The Fastest Pedestrian Detector in the West , 2010, BMVC.
[57] Kentaro Toyama,et al. Wallflower: principles and practice of background maintenance , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[58] Larry S. Davis,et al. Multiple instance fFeature for robust part-based object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Zhuowen Tu,et al. Feature Mining for Image Classification , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[60] Rita Cucchiara,et al. Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos , 2010, ECCV.
[61] W. Eric L. Grimson,et al. Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[62] Larry S. Davis,et al. Human detection using partial least squares analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[63] Yap-Peng Tan,et al. A vision-based approach to early detection of drowning incidents in swimming pools , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[64] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[65] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[66] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[67] Katsushi Ikeuchi,et al. Transparent surface modeling from a pair of polarization images , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[68] Bernt Schiele,et al. New features and insights for pedestrian detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[69] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[70] Xudong Jiang,et al. Extended Histogram of Gradients with Asymmetric Principal Component and Discriminant Analyses for Human Detection , 2011, 2011 Canadian Conference on Computer and Robot Vision.
[71] Subhransu Maji,et al. Efficient Classification for Additive Kernel SVMs , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[72] Shigeo Abe,et al. A novel approach to feature selection based on analysis of class regions , 1997, IEEE Trans. Syst. Man Cybern. Part B.
[73] Jieping Ye,et al. An optimization criterion for generalized discriminant analysis on undersampled problems , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[74] Cordelia Schmid,et al. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.
[75] Ting Yu,et al. Boosted deformable model for human body alignment , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[76] Larry S. Davis,et al. Hierarchical Part-Template Matching for Human Detection and Segmentation , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[77] Tieniu Tan,et al. Recent developments in human motion analysis , 2003, Pattern Recognit..
[78] Xudong Jiang,et al. Extended Histogram of Gradients feature for human detection , 2010, 2010 IEEE International Conference on Image Processing.
[79] Wei-Yun Yau,et al. An automatic drowning detection surveillance system for challenging outdoor pool environments , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[80] Wei-Yun Yau,et al. Novel region-based modeling for human detection within highly dynamic aquatic environment , 2004, CVPR 2004.
[81] Larry S. Davis,et al. A Pose-Invariant Descriptor for Human Detection and Segmentation , 2008, ECCV.
[82] Larry S. Davis,et al. Multiple instance fFeature for robust part-based object detection , 2009, CVPR.
[83] Gian Luca Foresti,et al. Monitoring motorway infrastructures for detection of dangerous events , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[84] Stephen Lin,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[85] Gian Luca Foresti. A real-time system for video surveillance of unattended outdoor environments , 1998, IEEE Trans. Circuits Syst. Video Technol..
[86] Larry S. Davis,et al. W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[87] Xudong Jiang,et al. Eigenfeature Regularization and Extraction in Face Recognition , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[88] Katsushi Ikeuchi,et al. Transparent surface modeling from a pair of polarization images , 2004 .
[89] William A. Shurcliff,et al. Polarized Light , 2014 .
[90] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[91] Shyang Chang,et al. Statistical change detection with moments under time-varying illumination , 1998, IEEE Trans. Image Process..
[92] Pietro Perona,et al. Multiple Component Learning for Object Detection , 2008, ECCV.