The nature of statistical learning theory
The nature of statistical learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Probabilistic Methods for Finding People
International Journal of Computer Vision
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Singularity Analysis for Articulated Object Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Efficient Optimization of a Deformable Template Using Dynamic Programming
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Cardboard People: A Parameterized Model of Articulated Image Motion
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Framework for Modeling the Appearance of 3D Articulated Figures
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
A Model-Based Approach for Estimating Human 3D Poses in Static Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Boosted human-centric hybrid classifier
Proceedings of the 43rd annual Southeast regional conference - Volume 1
Tracking People by Learning Their Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge affinity for pose-contour matching
Computer Vision and Image Understanding
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Human body pose detection using Bayesian spatio-temporal templates
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Human Pose Estimation Using Partial Configurations and Probabilistic Regions
International Journal of Computer Vision
Fuzzy component based object detection
International Journal of Approximate Reasoning
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Detecting and segmenting humans in crowded scenes
Proceedings of the 15th international conference on Multimedia
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Camera calibration from human motion
Image and Vision Computing
Human Motion Tracking with a Kinematic Parameterization of Extremal Contours
International Journal of Computer Vision
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Multi-target tracking in time-lapse video forensics
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
An efficient garment visual search based on shape context
WSEAS Transactions on Computers
A comprehensive evaluation framework and a comparative study for human detectors
IEEE Transactions on Intelligent Transportation Systems
International Journal of Computer Vision
Patch-based pose inference with a mixture of density estimators
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
AdaBoost learning for human detection based on histograms of oriented gradients
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Bottom-up recognition and parsing of the human body
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Improved human parsing with a full relational model
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
A structural filter approach to human detection
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Proposal maps driven MCMC for estimating human body pose in static images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Representation and matching of articulated shapes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
International Journal of Computer Vision
People detection using color and depth images
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Learning of graphical models and efficient inference for object class recognition
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Linear programming for matching in human body gesture recognition
AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
A local basis representation for estimating human pose from cluttered images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Real-time upper body detection and 3d pose estimation in monoscopic images
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Estimating human pose from occluded images
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Hierarchical pose estimation for human gait analysis
Computer Methods and Programs in Biomedicine
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
International Journal of Computer Vision
Discriminative Appearance Models for Pictorial Structures
International Journal of Computer Vision
Has my algorithm succeeded? an evaluator for human pose estimators
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Combination of annealing particle filter and belief propagation for 3D upper body tracking
Applied Bionics and Biomechanics - Personal Care Robotics
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Detecting people in images is a key problem for video indexing, browsing and retrieval. The main difficulties are the large appearance variations caused by action, clothing, illumination, viewpoint and scale. Our goal is to find people in static video frames using learned models of both the appearance of body parts (head, limbs, hands), and of the geometry of their assemblies. We build on Forsyth & Fleck's general 'body plan' methodology and Felzenszwalb & Huttenlocher's dynamic programming approach for efficiently assembling candidate parts into 'pictorial structures'. However we replace the rather simple part detectors used in these works with dedicated detectors learned for each body part using SupportVector Machines (SVMs) or RelevanceVector Machines (RVMs). We are not aware of any previous work using SVMs to learn articulated body plans, however they have been used to detect both whole pedestrians and combinations of rigidly positioned subimages (typically, upper body, arms, and legs) in street scenes, under a wide range of illumination, pose and clothing variations. RVMs are SVM-like classifiers that offer a well-founded probabilistic interpretation and improved sparsity for reduced computation. We demonstrate their benefits experimentally in a series of results showing great promise for learning detectors in more general situations.