Characterizing Humans on Riemannian Manifolds
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Vittorio Murino | Marco Cristani | Diego Tosato | Mauro Spera | M. Cristani | Vittorio Murino | Diego Tosato | M. Spera
[1] Vittorio Murino,et al. Look at Who's Talking: Voice Activity Detection by Automated Gesture Analysis , 2011, AmI Workshops.
[2] Alessio Del Bue,et al. Social interaction discovery by statistical analysis of F-formations , 2011, BMVC.
[3] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[4] Jian Yao,et al. Fast human detection from videos using covariance features , 2008, ECCV 2008.
[5] 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).
[6] Vittorio Murino,et al. Multi-class Classification on Riemannian Manifolds for Video Surveillance , 2010, ECCV.
[7] Jean-Marc Odobez,et al. Evaluation of Multiple Cue Head Pose Estimation Algorithms in Natural Environements , 2005, 2005 IEEE International Conference on Multimedia and Expo.
[8] Bernt Schiele,et al. New features and insights for pedestrian detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Suresh Venkatasubramanian,et al. Robust statistics on Riemannian manifolds via the geometric median , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Jean-Marc Odobez,et al. Learning large margin likelihoods for realtime head pose tracking , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[11] Hai Tao,et al. Evaluating Appearance Models for Recognition, Reacquisition, and Tracking , 2007 .
[12] Larry S. Davis,et al. A Pose-Invariant Descriptor for Human Detection and Segmentation , 2008, ECCV.
[13] Mohan M. Trivedi,et al. Head Pose Estimation in Computer Vision: A Survey , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Andrew Zisserman,et al. Efficient additive kernels via explicit feature maps , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[15] R. Carter. Lie Groups , 1970, Nature.
[16] Juergen Gall,et al. Class-specific Hough forests for object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Maja Pantic,et al. Social signal processing: Survey of an emerging domain , 2009, Image Vis. Comput..
[18] Fatih Murat Porikli,et al. Pedestrian Detection via Classification on Riemannian Manifolds , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] 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.
[20] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[22] Michael I. Jordan,et al. Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones , 1999, Machine Learning.
[23] Luc Van Gool,et al. Real time head pose estimation with random regression forests , 2011, CVPR 2011.
[24] Jean-Marc Odobez,et al. Tracking the Visual Focus of Attention for a Varying Number of Wandering People , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Nicholas Ayache,et al. Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..
[26] Cordelia Schmid,et al. Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[27] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[28] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[30] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] P. Thomas Fletcher,et al. Principal geodesic analysis for the study of nonlinear statistics of shape , 2004, IEEE Transactions on Medical Imaging.
[32] David A. Forsyth,et al. Improved Human Parsing with a Full Relational Model , 2010, ECCV.
[33] Dariu Gavrila,et al. Integrated pedestrian classification and orientation estimation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] Horst Bischof,et al. Supervised local subspace learning for continuous head pose estimation , 2011, CVPR 2011.
[35] Horst Bischof,et al. Using covariance matrices for unsupervised texture segmentation , 2008, 2008 19th International Conference on Pattern Recognition.
[36] H. Karcher. Riemannian center of mass and mollifier smoothing , 1977 .
[37] Jean-Marc Odobez,et al. A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose , 2007, 2007 IEEE International Conference on Multimedia and Expo.
[38] Shaogang Gong,et al. Head Pose Classification in Crowded Scenes , 2009, BMVC.
[39] 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.
[40] 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).
[41] Anoop Cherian,et al. Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence , 2011, 2011 International Conference on Computer Vision.
[42] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Bernt Schiele,et al. A Performance Evaluation of Single and Multi-feature People Detection , 2008, DAGM-Symposium.
[44] Shuicheng Yan,et al. Discriminative local binary patterns for human detection in personal album , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Søren Hauberg,et al. Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations , 2010, ECCV.
[46] I. Chavel. Riemannian Geometry: Subject Index , 2006 .
[47] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[48] Dan Levi,et al. Part-Based Feature Synthesis for Human Detection , 2010, ECCV.
[49] Ankur Agarwal,et al. A Local Basis Representation for Estimating Human Pose from Cluttered Images , 2006, ACCV.
[50] Ian D. Reid,et al. Automatic Reasoning about Causal Events in Surveillance Video , 2011, EURASIP J. Image Video Process..
[51] Rainer Stiefelhagen,et al. Head Pose Estimation in Single- and Multi-view Environments - Results on the CLEAR'07 Benchmarks , 2007, CLEAR.
[52] Larry S. Davis,et al. Human detection using partial least squares analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[53] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[54] Ian D. Reid,et al. Estimating Gaze Direction from Low-Resolution Faces in Video , 2006, ECCV.