Detecting irregularity in videos using kernel estimation and KD trees
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
International Journal of Computer Vision
Pattern Recognition Letters
International Journal of Computer Vision
Boosted multiple deformable trees for parsing human poses
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Segmentation of human body parts using deformable triangulation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Dual gait generative models for human motion estimation from a single camera
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
We are family: joint pose estimation of multiple persons
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Cascaded models for articulated pose estimation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Fast multi-aspect 2D human detection
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Computer Vision and Image Understanding
Upper Body Detection and Tracking in Extended Signing Sequences
International Journal of Computer Vision
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Human body pose estimation from still images and video frames
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
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
Exploring the spatial hierarchy of mixture models for human pose estimation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Efficient human parsing based on sketch representation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
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Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constraints of the skeletal structure, they do not capture additional constraints such as coordination of the limbs. Tree structured models thus miss an important source of information about human body pose, as limb coordination is necessary for balance while standing, walking, or running, as well as being evident in other activities such as dancing and throwing. In this paper we consider the use of undirected graphical models that augment a tree structure with latent variables in order to account for coordination between limbs. We refer to these as common-factor models, since they are constructed by using factor analysis to identify additional correlations in limb position that are not accounted for by the kinematic tree structure. These common-factor models have an underlying tree structure and thus a variant of the standard Viterbi algorithm for a tree can be applied for efficient estimation. We present some experimental results contrasting common-factor models with tree models, and quantify the improvement in pose estimation for 2D image data.