Human detection using partial least squares analysis
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Larry S. Davis | William Robson Schwartz | David Harwood | Aniruddha Kembhavi | W. R. Schwartz | L. Davis | Aniruddha Kembhavi | D. Harwood | David Harwood
[1] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[2] S. Wold,et al. PLS: Partial Least Squares Projections to Latent Structures , 1993 .
[3] Jitendra Malik,et al. Matching Shapes , 2001, ICCV.
[4] Serge J. Belongie,et al. Matching shapes , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[5] Tomaso A. Poggio,et al. Example-Based Object Detection in Images by Components , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Kee Tung. Wong,et al. Texture features for image classification and retrieval. , 2002 .
[7] R. Sukthankar,et al. PCA-SIFT: a more distinctive representation for local image descriptors , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[8] Yan Ke,et al. PCA-SIFT: a more distinctive representation for local image descriptors , 2004, CVPR 2004.
[9] Cordelia Schmid,et al. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors , 2004, ECCV.
[10] Roman Rosipal,et al. Overview and Recent Advances in Partial Least Squares , 2005, SLSFS.
[11] 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).
[12] 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.
[13] 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).
[14] Dariu Gavrila,et al. An Experimental Study on Pedestrian Classification , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[16] Wei Zhang,et al. Real-time Accurate Object Detection using Multiple Resolutions , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[17] David A. Forsyth,et al. Configuration Estimates Improve Pedestrian Finding , 2007, NIPS.
[18] Larry S. Davis,et al. Bilattice-based Logical Reasoning for Human Detection , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[20] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[21] 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.
[22] Larry S. Davis,et al. A Pose-Invariant Descriptor for Human Detection and Segmentation , 2008, ECCV.
[23] Pietro Perona,et al. Multiple Component Learning for Object Detection , 2008, ECCV.
[24] Luc Van Gool,et al. A mobile vision system for robust multi-person tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Patrick Sayd,et al. Real-time human detection in urban scenes: Local descriptors and classifiers selection with AdaBoost-like algorithms , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[27] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Shuicheng Yan,et al. Discriminative local binary patterns for human detection in personal album , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Chu-Song Chen,et al. Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages , 2008, IEEE Transactions on Image Processing.
[30] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.