Local distance preservation in the GP-LVM through back constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
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
Temporal motion models for monocular and multiview 3D human body tracking
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Tracking human motion and actions for interactive robots
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Multifactor Gaussian process models for style-content separation
Proceedings of the 24th international conference on Machine learning
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
International Journal of Computer Vision
Monocular 3D tracking of articulated human motion in silhouette and pose manifolds
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Fast nonparametric belief propagation for real-time stereo articulated body tracking
Computer Vision and Image Understanding
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Three Dimensional Monocular Human Motion Analysis in End-Effector Space
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Exploiting motion correlations in 3-D articulated human motion tracking
IEEE Transactions on Image Processing
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
International Journal of Computer Vision
Twin Gaussian Processes for Structured Prediction
International Journal of Computer Vision
International Journal of Computer Vision
Coupled Visual and Kinematic Manifold Models for Tracking
International Journal of Computer Vision
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking
International Journal of Computer Vision
Physics-Based Person Tracking Using the Anthropomorphic Walker
International Journal of Computer Vision
Nonlinear synchronization for automatic learning of 3D pose variability in human motion sequences
EURASIP Journal on Advances in Signal Processing - Image processing and analysis in biomechanics
Gaussian Processes for Object Categorization
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
Shared latent dynamical model for human tracking from videos
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
VideoMocap: modeling physically realistic human motion from monocular video sequences
ACM SIGGRAPH 2010 papers
Exploiting spatio-temporal constraints for robust 2D pose tracking
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Modeling human locomotion with topologically constrained latent variable models
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Markerless human articulated tracking using hierarchical particle swarm optimisation
Image and Vision Computing
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
Human pose estimation with implicit shape models
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Markerless articulated human body tracking from multi-view video with GPU-PSO
ICES'10 Proceedings of the 9th international conference on Evolvable systems: from biology to hardware
Gaussian-like spatial priors for articulated tracking
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Learning to recognize objects from unseen modalities
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Computer Vision and Image Understanding
Stick it articulated tracking using spatial rigid object priors
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Predicting Articulated Human Motion from Spatial Processes
International Journal of Computer Vision
Unscented kalman filtering for articulated human tracking
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Real-time stylistic prediction for whole-body human motions
Neural Networks
3D human motion sequences synchronization using dense matching algorithm
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Learning to mimic motion of human arm and hand grabbing for constraint adaptation
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Learning deformations of human arm movement to adapt to environmental constraints
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Posture constraints for bayesian human motion tracking
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Statistical gesture models for 3d motion capture from a library of gestures with variants
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Temporal-Spatial local gaussian process experts for human pose estimation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Monocular tracking of 3d human motion with a coordinated mixture of factor analyzers
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Learning nonlinear manifolds from time series
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Discriminative human full-body pose estimation from wearable inertial sensor data
3DPH'09 Proceedings of the 2009 international conference on Modelling the Physiological Human
International Journal of Computational Vision and Robotics
Continuous character control with low-dimensional embeddings
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Natural metrics and least-committed priors for articulated tracking
Image and Vision Computing
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Coupled Action Recognition and Pose Estimation from Multiple Views
International Journal of Computer Vision
Spatial measures between human poses for classification and understanding
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Particle Swarm Optimization and Differential Evolution for model-based object detection
Applied Soft Computing
Tracking in object action space
Computer Vision and Image Understanding
Two-layer dual gait generative models for human motion estimation from a single camera
Image and Vision Computing
Discriminative fusion of shape and appearance features for human pose estimation
Pattern Recognition
Hi-index | 0.00 |
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a low-dimensional embedding of the high-dimensional pose data and a density function that both gives higher probability to points close to training data and provides a nonlinear probabilistic mapping from the low-dimensional latent space to the full-dimensional pose space. The SGPLVM is a natural choice when only small amounts of training data are available. We demonstrate our approach with two distinct motions, golfing and walking. We show that the SGPLVM sufficiently constrains the problem such that tracking can be accomplished with straighforward deterministic optimization.