行人检测论文汇总
from http://www.pedestrian-detection.com/
2014
S. Tang, M. Andriluka and B. Schiele, "Detection and Tracking of Occluded People", nternational Journal of Computer Vision (IJCV), 20142013
P. Sermanet, K. Kavukcuoglu, S. Chintala, Y. LeCun, "Pedestrian Detection with Unsupervised Multi-Stage Feature Learning", CVPR, 2013W. Ouyang and X. Wang, "Single-Pedestrian Detection aided by Multi-pedestrian Detection", CVPR, 2013
W. Ouyang, X. Zeng and X. Wang, "Modeling Mutual Visibility Relationship with a Deep Model in Pedestrian Detection", CVPR, 2013
Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li, "Robust Multi-Resolution Pedestrian Detection in Traffic Scenes", CVPR, 2013
D. Park, C. Zitnick, D. Ramanan and P. Dollar , "Exploring Weak Stabilization for Motion Feature Extraction ", CVPR, 2013
Matteo Taiana, Jacinto Nascimento, Alexandre Bernardino, "An Improved Labelling for the INRIA Person Data Set for Pedestrian Detection", IbPRIA 2013, 2013
Rodrigo Benenson, Markus Mathias, Tinne Tuytelaars, Luc Van Gool , "Seeking the strongest rigid detector", CVPR, 2013
Joseph Lim, Larry Zitnick, Piotr Dollar, "Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection", CVPR, 2013
M. Liem and D. M. Gavrila, "Person Appearance Modeling and Orientation Estimation using Spherical Harmonics", IEEE International Conference on Automatic Face and Gesture Recognition, 2013
M. Liem and D. M. Gavrila, "A comparative study on multi-person tracking using overlapping cameras", International Conference on Computer Vision Systems (ICVS), 2013
S. Tang, M. Andriluka, A. Milan, K. Schindler, S. Roth and B. Schiele, "Learning People Detectors for Tracking in Crowded Scenes", ICCV, 2013
J. Yan, X. Zhang, Z. Lei, S C. Liao and S Z. Li, "Robust Multi-resolution Pedestrian Detection in Traffic Scenes", CVPR, 2013
C. Shen and P. Wang and S. Paisitkriangkrai and A. van den Hengel, "Training effective node classifiers for cascade classification", International Journal of Computer Vision, 2013
S. Paisitkriangkrai and C. Shen and A. van den Hengel, "Efficient pedestrian detection by directly optimizing the partial area under the ROC curve", IEEE Conference on Computer Vision (ICCV), 2013
2012
Qingyuan Wang, Junbiao Pang, Lei Qin, Shuqiang Jiang, Qingming Huang, "Justifying the Importance of Color Cues in Object Detection: A Case Study on Pedestrian", Pacific Rim Conference on Multimedia, 2012P. Dollar, C. Wojek, B. Schiele and P. Perona, "Pedestrian Detection: An Evaluation of the State of the Art", PAMI, 2012
Z. Kira, R. Hadsell, G. Salgian, S. Samarasekera, "Long-Range Pedestrian Detection Using Stereo and a Cascade of Convolutional Network Classifiers", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012
David Vazquez, Antonio Lopez, & Daniel Ponsa, "Unsupervised Domain Adaptation of Virtual and Real Worlds for Pedestrian Detection", 21st International Conference on Pattern Recognition. Tsukuba Science City, JAPAN. , 2012
Yainuvis Socarras, David Vazquez, Antonio M. Lopez, & Theo Gevers, " Improving HOG with Image Segmentation: Application to Human Detection", J. Blanc-Talon et al. (Ed.), International Conference on Advanced Concepts for Intelligent Vision Systems. Heidelberg: Springer. , 2012
Yuanyuan, D.; Jing, X., "Contextual boost for pedestrian detection", CVPR, 2012
R. Benenson, Mathias M., R. Timofte, and L. Van Gool , "Pedestrian detection at 100 frames per second", CVPR, 2012
M. Hofmann and D.M. Gavrila, "Multi-view 3D Human Pose Estimation in Complex Environment", International Journal of Computer Vision (IJCV), 2012
J. Kooij, G. Englebienne and D.M. Gavrila, "A Non-parametric Hierarchical Model to Discover Behavior Dynamics from Tracks", Proceedings of the European Conference on Computer Vision (ECCV), 2012
W. Ouyang and X. Wang, "A Discriminative Deep Model for Pedestrian Detection with Occlusion Handling", CVPR, 2012
Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li, "Multi-pedestrian detection in crowded scenes: A global view", CVPR, 2012
J. Kooij, G. Englebienne and D.M. Gavrila, "A Non-parametric Hierarchical Model to Discover Behavior Dynamics from Tracks", ECCV, 2012
L. Pishchulin, A. Jain, M. Andriluka, T. Thormaehlen and B. Schiele, "Articulated People Detection and Pose Estimation: Reshaping the Future", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
2011
R. M. Rao, D. Vazquez, A. M. Lopez, "Opponent Color for Human Detection", Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA, 2011M. A. Rao, D. Vazquez, & A. Lopez, "Color Contribution to Part-Based Person Detection in Different Types of Scenarios", 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), 2011
D. Vazquez, A. Lopez, D.Ponsa, J. Marin, "Virtual Worlds and Active Learning for Human Detection", 13th International Conference on Multimodal Interaction (ICMI 2011), 2011
David Vazquez, Antonio Lopez, Daniel Ponsa, Javier Marin, "Cool world: domain adaptation of virtual and real worlds for human detection using active learning", Neural Information Processing Systems and Domain Adaptation Workshop: Theory and Application (DA-NIPS2011)., 2011
X. Cao, Z. Wang, P. Yan, X. Li, "Rapid Pedestrian Detection in Unseen Scenes", Neurocomputing, 2011
Mykhaylo Andriluka,Stefan Roth, Bernt Schiele, "Discriminative Appearance Models for Pictorial Structures", International Journal of Computer Vision, 2011
M. Enzweiler and D. M. Gavrila, "A Multi-Level Mixture-of-Experts Framework for Pedestrian Classification", IEEE Transactions on Image Processing, 2011
C. Keller, M. Enzweiler, M. Rohrbach, D.-F. Llorca, C. Schnoerr and D.M. Gavrila, "The Benefits of Dense Stereo for Pedestrian Detection", IEEE Transactions on Intelligent Transportation Systems, 2011
M. Hofmann and D.M. Gavrila, "3D Human Shape Model Adaptation by Automatic Frame Selection and Batch-Mode Optimization", Computer Vision Image Understanding (CVIU), 2011
A. Maki, A. Seki, T. Watanabe, and R Cipolla, "Co-occurrence flow for pedestrian detection", ICIP, 2011
2010
D. Geronimo, "A Global Approach to Vision Based Pedestrian Detection for Advanced Driver Assistance Systems", PhD Thesis. Computer Vision Center Barcelona, February 2010., 2010D. Geronimo and A.M. Lopez and A.D. Sappa and T. Graf, "Survey of Pedestrian Detection for Advanced Driver Assistance Systems", PAMI, 2010
D. Gernimo, A.D. Sappa, D. Ponsa and A.M. Lopez, "2D-3D based on-board pedestrian detection system", In Computer Vision and Image Understanding (Special Issue on Intelligent Vision Systems), 2010
J. Marin, D. Vazquez, D. Gerenimo and A.M. Lopez, "Learning Appearance in Virtual Scenarios for Pedestrian Detection", CVPR, 2010
L. Bourdev and S. Maji and T. Brox, T. and J. Malik, "Detecting People Using Mutually Consistent Poselet Activations", ECCV, 2010
P. Felzenszwalb and R. Girshick, and D. McAllester, "Cascade Object Detection with Deformable Part Models", CVPR, 2010
P. Felzenszwalb and R. Girshick and D. McAllester and D. Ramanan, , "Object Detection with Discriminatively Trained Part-Based Models", PAMI, 2010
S. Walk and N. Majer and K. Schindler and B. Schiele, "New Features and Insights for Pedestrian Detection", CVPR, 2010
P. Dollar, S. Belongie and P. Perona , "The Fastest Pedestrian Detector in the West", BMVC, 2010
Dennis Park, Deva Ramanan, and Charless Fowlkes , "Multiresolution models for object detection ", ECCV, 2010
Aharon Bar Hillel, Dan Levi, Eyal Krupka, Chen Goldberg, "Part-Based Feature Synthesis for Human Detection", ECCV, 2010
2009
M. Andriluka and S. Roth and B. Schiele, "Pictorial Structures Revisited: People Detection and Articulated Pose Estimation", CVPR, 2009C. Wojek and S. Walk and B. Schiele, "Multi-Cue Onboard Pedestrian Detection", CVPR, 2009
P. Dollar and C. Wojek and B. Schiele and P. Perona, "Pedestrian Detection: A Benchmark", CVPR, 2009
X. Wang and T.X. Han and S.Yan, "An HOG-LBP human detector with partial occlusioin handling", CVPR, 2009
L. Bourdev and J. Malik, "Poselets: Body part detectors trained using 3d human pose annotations", ICCV, 2009
M. Ozusayal and V. Lepetit and P. Fua, "Pose estimation for category specific multiview object localization", CVPR, 2009
Duc Thanh Nguyen, Wanqing Li, and Philip Ogunbona, "An Improved Template Matching Method for Object Detection", ACCV, 2009
P. Dollar, Z. Tu, P. Perona and S. Belongie, "Integral Channel Features", BMVC, 2009
William Robson Schwartz, Aniruddha Kembhavi, David Harwood, Larry S. Davis, "Human Detection Using Partial Least Squares Analysis", ICCV, 2009
2008
M. Andriluka and S. Roth and B. Schiele, "People-Tracking-by-Detection and People-Detection-by-Tracking", CVPR, 2008M. Enzweiler and D. Gavrila, "A Mixed Generative-Discriminative Framework for Pedestrian Classification", CVPR, 2008
P. Felzenszwalb and D. McAllester and D. Ramanan, "A discriminatively trained, multiscale, deformable part model", CVPR, 2008
S. Maji and A. C. Berg and J. Malik, "Classification using intersection kernel support vector machines is efficient", CVPR, 2008
2007
Edgar Seemann, "Pedestrian Detection in Crowded Street Scenes", PhD Thesis, 2007B. Wu and R. Nevatia, "Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier", CVPR, 2007
D. Gavrila and S. Munder, "Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle", IJCV, 2007
A. Bissacco and M. Yang and S. Soatto, "Detecting Humans via Their Pose", NIPS, 2007
D. Ger\\'onimo and A. Sappa and A. L\\'opez and D. Ponsa, "Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection", ICVS, 2007
B. Leibe and N. Cornelis and K. Cornelis and L. Van Gool, "Dynamic 3D Scene Analysis from a Moving Vehicle", CVPR, 2007
L. Wang and J. Shi and G. Song and I. Shen, "Object Detection Combining Recognition and Segmentation", ACCV, 2007
Sergiu Nedevschi, Corneliu Tomiuc and Silviu Bota, "Stereo Based Pedestrian Detection for Collision Avoidance Applications", ICRA Workshop: Planning, Perception and Navigation for Intelligent Vehicles, 2007
B. Wu and R. Nevatia, "Cluster boosted tree classifier for multi-view, multi-pose object detection", ICCV, 2007
O. Tuzel and F. Porikli and P. Meer, "Human detection via classification on riemannian manifolds", CVPR, 2007
2006
B. Wu and R. Nevatia, "Tracking of Multipl", CVPR, 2006E. Seemann and B. Leibe and B. Schiele, "Multi-Aspect Detection of Articulated Objects", CVPR, 2006
E. Seemann and B. Schiele, "Cross-Articulation Learning for Robust Detection of Pedestrians", DAGM, 2006
N. Dalal and B. Triggs and C. Schmid, "Human Detection Using Oriented Histograms of Flow and Appearance", ECCV, 2006
Q. Zhu and M. Yeh and K. Cheng and S. Avidan, "Fast Human Detection Using a Cascade of Histograms of Oriented Gradients", CVPR, 2006
S. Munder and D. Gavrila, "An Experimental Study on Pedestrian Classification", PAMI, 2006
A. Torralba and K. P. Murphy and W. T. Freeman, "Sharing visual features for multiclass and multiview object detection", submitted to PAMI, 2006
J. Berclaz and F. Fleuret and P. Fua, "Robust People Tracking with Global Trajectory Optimization", CVPR, 2006
A. Opelt and A. Pinz and A. Zisserman, "A Boundary-Fragment-Model for Object Detection", ECCV, 2006
K. Mikolajczyk and B. Leibe and and B. Schiele, "Multiple Object Class Detection with a Generative Model", CVPR, 2006
K. Grauman and T. Darrell, "Unsupervised Learning of Categories from Sets of Partially Matching Image Features", CVPR, 2006
B. Leibe and K. Mikolajczyk and B. Schiele, "Segmentation Based Multi-Cue Integration for Object Detection", BMVC, 2006
M. Fritz and B. Schiele, "Towards Unsupervised Discovery of Visual Categories", DAGM, 2006
A. Agarwal and B. Triggs, "Hyperfeatures - multilevel local coding for visual recognition", ECCV, 2006
S. Lazebnik and C. Schmid and J. Ponce, "A discriminative framework for texture and object recognition using local image features", ECCV Workshop: Towards category-level object recognition, 2006
D. Hoiem and A. Efros and M. Hebert, "Putting Objects in Perspective", CVPR, 2006
M. Dimitrijevic and V. Lepetit and P. Fua, "Human Body Pose Detection Using Bayesian Spatio-Temporal Templates", CVIU, 2006
2005
Edgar Seemann, Bastian Leibe and Bernt Schiele, "Pedestrian Detection in Crowded Scenes", CVPR, 2005M. Szarvas and a. Yoshizawa and M Yamamoto and J. Ogata, "Pedestrian Detection with Convolutional Neural Networks", IVS, 2005
B. Wu and R. Nevatia, "Detection of Multipl", ICCV, 2005
A. Micilotta and E. Ong and R. Bowden, "Detection and Tracking of Humans by Probabilistic Body Part Assembly", BMVC, 2005
K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors", PAMI, 2005
B. Leibe and E. Seemann and B. Schiele, "Pedestrian Detection in Crowded Scenes", CVPR, 2005
M. Fritz and B. Leibe and B. Schiele, "Integrating Representative and Discriminant Models for Object Category Detection", ICCV, 2005
E. Seemann and B. Leibe and K. Mikolajczyk and B. Schiele, "An Evaluation of Local Shape-Based Features for Pedestrian Detection", BMVC, 2005
N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection", CVPR, 2005
K. Smith and D. G.-Perez and J.-M. Odobez, "Using Particles to Track Varying Numbers of Interacting People", CVPR, 2005
J. R. Peter and H. Tu and N. Krahnstoever, "Simultaneous Estimation of Segmentation and Shape", CVPR, 2005
A. Berg and T. Berg and J. Malik, "Shape Matching and Object Recognition using Low Distortion Correspondence", CVPR, 2005
G. Bouchard and B. Triggs, "Hierarchical Part-Based Visual Object Categorization", CVPR, 2005
E. Sudderth and A. Torralba and W. Freeman and A. Willsky, "Learning Hierarchical Models of Scene", ICCV, 2005
Y. Wu and T. Yu and G. Hua, "A Statistical Field Model for Pedestrian Detection", CVPR, 2005
P. Roth and H. Grabner and D. Skovcaj and H. Bischof and A. Leonardis, "On-line conservative learning for person detection", PETS, 2005
2004
D. Gavrila and J. Giebel and S. Munder, "Vision-Based Pedestrian Detection: The PROTECTOR System", IVS, 2004K. Mikolajczyk and C. Schmid and A. Zisserman, "Human detection based on a probabilistic assembly of robust part detectors", ECCV, 2004
Hannes Kruppa, "Object Detection using Scale-specific Boosted Parts and a Bayesian Combiner", , 2004
A. Shashua and Y. Gdalyahu and G. Hayon, "Pedestrian Detection for Driving Assistance Systems: Single-frame Classification and System Level Performance", IVS, 2004
G. Mori and X. Ren and A.A. Efros and J. Malik, "Recovering Human Body Configurations: Combining Segmentation and Recognition", CVPR, 2004
D. Lowe, "Distinctive image features from scale-invariant keypoints", IJCV, 2004
B. Leibe and B. Schiele, "Scale Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search", DAGM, 2004
B. Leibe and A. Leonardis and B. Schiele, "Combined Object Categorization and Segmentation with an Implicit Shape Model", ECCV Workshop on Statistical Learning in Computer Vision, 2004
Bastian Leibe, "Interleaved Object Categorization and Segmentation", , 2004
S. Agarwal and A. Atwan and D. Roth, "Learning to Detect Objects in Images via a Spars", PAMI, 2004
A. Torralba and K. Murphy and W. Freeman, "Sharing features: efficient boosting procedures for multiclass object detection", CVPR, 2004
P. Viola and M. Jones, "Robust Real-Time Face Detection", IJCV, 2004
C. Huang and H. Ai and B. Wu and S. Lao, "Boosting Nested Cascade Detector for Multi-View Face Detection", ICPR, 2004
E. Borenstein and S. Ullman, "Learning to Segment", ECCV, 2004
E. Borenstein and E. Sharon and S. Ullman, "Combining Top-Down and Bottom-Up Segmentations", POCV, 2004
T. Jebara and R. Kondor and A. Howard, "Probability Product Kernels", JMLR, 2004
N. Vasconcelos and P. Ho and P. Moreno, "The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition", ECCV, 2004
F. Perreira and A. Bernal and K. Crammer and R. McDonald, "Linear models for structure prediction", NIPS Workshop on Graphical Models and Kernels, 2004
M. Nilsback and B. Caputo, "Cue Integration through Discriminative Accumulation", CVPR, 2004
J. Vogel, "Semantic Scene Modeling and Retrieval", , 2004
S. Boughorbel and J.-P. Tarel and F. Fleuret, "Non-Mercer Kernels for SVM Object Recognition", BMVC, 2004
T. Zhao and R. Nevatia, "Tracking multiple humans in crowded environment", CVPR, 2004
K. Okuma and A. Taleghani and N. de Freitas and J. Little and D. Lowe, "A boosted particle filter: multitarget detection and tracking", ECCV, 2004
F.-F. Li, "Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories", CVPR Workshop On Generative-Model Based Vision, 2004
B. Caputo and C. Wallraven and M. Nilsback, "Object Categorization via Local Kernels", ICPR, 2004
J. Giebel and D. Gavrila and C. Schnoerr and D.M.Gavrila, "A Bayesian Framework for Multi-cue 3D Object Tracking", ECCV, 2004
2003
P. Viola and M.J. Jones and D. Snow, "Detecting Pedestrians Using Patterns of Motion and Appearance", ICCV, 2003M. Bertozzi and A. Broggi and R. Chapuis and F. Chausse and A. Fascioli and A. Tibaldi, "Shape-based pedestrian detection and localization", ITS, 2003
B. Leibe and B. Schiele, "Interleaved Object Categorization and Segmentation", BMVC, 2003
A. Thayananthan and B. Stenger and P.H.S. Torr and R.Cipolla, "Shape Context and Chamfer Matching in Cluttered Scenes", CVPR, 2003
P. Felzenszwalb and D. Huttenlocher, "Pictorial structures for object recognition", IJCV, 2003
M. Vidal-Naquet and S. Ullman, "Object Recognition with Informative Features and Linear Classification", ICCV, 2003
S.X. Yu and J. Shi, "Object-Specific Figure-Ground Segregation", CVPR, 2003
D. Sko\\v{c}aj and A. Leonardis, "Weighted and robust incremental method for subspace learning", ICCV, 2003
F. Li and R. Fergus and P. Perona, "A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories", ICCV, 2003
Z. Tu and X. Chen and A. Yuille and S. Zhu, "Image Parsing: Unifying Segmentatio", ICCV, 2003
A. Mittal and L. Davis, "M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene", IJCV, 2003
R. Fergus and A. Zisserman and P. Perona, "Object Class Recognition by Unsupervised Scale-Invariant Learning", CVPR, 2003
L. Fei-Fei and R. Fergus and P. Perona, "A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories", ICCV, 2003
C. Wallraven and B. Caputo and A. Graf, "Recognition with Local Features: the Kernel Recipe", ICCV, 2003
G. Dork\\'o and C. Schmid, "Selection of Scale-Invariant Parts for Object Class Recognition", ICCV, 2003
Y. Fang and K. Yamada and Y. Ninomiya and B. Horn and I. Masaki, "Comparison between infrared-image-based and visible-image-based approaches for pedestrian detection", IVS, 2003
A. Torralba, "Contextual priming for object detection", IJCV, 2003
2002
R. Ronfard and C. Schmid and B. Triggs, "Learning to Parse Pictures of People", ECCV, 2002G. Mori and J. Malik, "Estimating Human Body Configurations using Shape Context Matching", ECCV, 2002
S. Belongie and J. Malik and J. Puzicha, "Shape Matching and Object Recognition Using Shape Contexts.", PAMI, 2002
S. Ullman and M. Vidal-Naquet and E. Sali, "Visual features of intermediate complexity and their use in classification", Nature Neuroscience, 2002
K. Tsuda and M. Kawanabe and G. R\\"atsch and S. Sonnenburg and K.-R. M\\"uller, "A new discriminative kernel from probabilistic models", Neural Computation, 2002
A. Garg and S. Agarwal and T. Huang, "Fusion of Global and Local Information for Object Detection", ICPR, 2002
S. Agarwal and D. Roth, "Learning a Sparse Representation for Object Detection", ECCV, 2002
E. Borenstein and S. Ullman, "Class-Specifi", ECCV, 2002
2001
A. Mohan and C. Papageorgiu and T. Poggio, "Example-Based Object Detection in Images by Componentes", PAMI, 2001S. Ioffe and D. Forsyth, "Probabilistic methods for finding people", IJCV, 2001
K. Mikolajczyk and C. Schmid, "Indexing based on scale invariant interest points", ICCV, 2001
A. Berg and J. Malik, "Geometric Blur for Template Matching", CVPR, 2001
P. Felzenszwalb, "Learning Models for Object Recognition", CVPR, 2001
D. Comaniciu and V. Ramesh and P. Meer, "The Variable Bandwidth Mean Shift and Data-Driven Scale Selection", ICCV, 2001
A. Ng and M. Jordan, "On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes", NIPS, 2001
B. Heisele and T. Serre and M. Pontil and T. Poggio, "Component-Based Face Detection", CVPR, 2001
M. Isard and J. MacCormick, "BraMBLe: A Bayesian Multiple-Blob Tracker", ICCV, 2001
S. Khan and O. Javed and M. Shah, "Tracking in uncalibrated cameras with overlapping field of view", PETS, 2001
T. Kadir and M. Brady, "Scal", IJCV, 2001
K.-R. Mueller and S. Mika and G. Raetsch and K. Tsuda and B. Schoelkopf, "An introduction to kernel-based learning algorithms", IEEE Neural Networks, 2001
2000
D. Gavrila, "Pedestrian Detection from a Moving Vehicle", ECCV, 2000L. Zhao and C. Thorpe, "Stereo and Neural Network-based Pedestrian Detection", IEEE Transactions on Intelligent Transportation Systems, 2000
C. W\\"ohler and U. Kressel and J.K. Anlaur, "Pedestrian recognition by classification of image sequences - Global approaches vs. local spatio-temporal processing", ICPR, 2000
C. Papageorgiou and T. Poggio, "A Trainable System for Object Detection", IJCV, 2000
A. Broggi and M. Bertozzi and A. Fascioli and M. Sechi, "Shape-based pedestrian detection", IV, 2000
P. Felzenszwalb and D. Huttenlocher, "Efficient matching of pictorial structures", CVPR, 2000
H. Schneiderman and T. Kanade, "A Statistical Method of 3D Object Detection Applied to Faces and Cars", CVPR, 2000
M. Weber and M. Welling and P. Perona, "Unsupervised learning of object models for recognition", ECCV, 2000
M. Weber and M. Welling and P. Perona, "Towards Automatic Discovery of Object Categories", CVPR, 2000
1999
D. Gavrila, "Real-Time Object Detection for Smart Vehicles", ICCV, 1999C. Papageorgiou and T. Poggio, "Trainable Pedestrian Detection", ICIP, 1999
J. Rehg and K. Murphy and P. Fieguth, " Vision-based speaker detection using bayesian networks", ICCV, 1999
C. Stauffer and W. Grimson, "Adaptive background mixture models for realtime tracking", CVPR, 1999
D. Comaniciu and P. Meer, "Distribution Free Decomposition of Multivariate Data", Pattern Analysis and Applications, 1999
1998
D. Gavrila, "Multi-feature Hierarchical Template Matching Using Distance Transforms", ICPR, 1998T. Jaakkola and D. Haussler, "Exploiting generative models in discriminative classifiers", NIPS, 1998
M. Pontil and A. Verri, "Support Vector Machines for 3D Object Recognition", PAMI, 1998
Q. Cai and J. Aggarwal, "Automatic tracking of human motion in indoor scenes across multiple synchronized video streams", ICCV, 1998
M. Burl and M. Weber and P. Perona, "A Probabilistic Approach to Object Recognition using Local Photometry and Global Geometry", ECCV, 1998
C. Schmid and R. Mohr and C. Bauckhage, "Comparing and Evaluating Interest Points", ICCV, 1998
T. Lindeberg, "Feature Detection with Automatic Scale Selection", IJCV, 1998
1997
M. Oren and C. Papageorgiou and P. Sinha and E. Osuna and T. Poggio, "Pedestrian detection using wavelet templates", CVPR, 1997D. Forsyth and M. Fleck, "Body plans", CVPR, 1997
C. Schmid and R. Mohr, "Local Grayvalue Invariants for Image Retrieval", PAMI, 1997
C.F. Olson and D.P. Huttenlocher, "Automatic Target Recognition by Matching Oriented Edge Pixels", TIP, 1997
1995
Y. Freund and R. Schapire, "A decision-theoretic generalization of on-line learning and an application to boosting", European Conference on Computational Learning Theory, 1995A. Leonardis and A. Gupta and R. Bajcsy, "Segmentation of Range Images as the Search for Geometric Parametric Models", IJCV, 1995
T. Cootes and C. Taylor and D. Cooper and J. Graham, "Active Shape Models - Their Training and Application", CVIU, 1995
1991
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1987
J. Connell and M. Brady, "Generating and Generalizing Models of Visual Objects", Artificial Intelligence, 19871986
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J.P. Benz\\'ecri, "Construction d'une Classification Ascendante Hi\\'erarchique par la Recherche en Cha\\^ine des Voisins R\\'eciproques", CAD, 19821981
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