Pedestrian recognition with false positive detection by model-based tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Human Motion Tracking with a Kinematic Parameterization of Extremal Contours
International Journal of Computer Vision
Activity classification for interactive game interfaces
International Journal of Computer Games Technology - Joint International Conference on Cyber Games and Interactive Entertainment 2006
Model based human motion tracking using probability evolutionary algorithm
Pattern Recognition Letters
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Using Hierarchical Models for 3D Human Body-Part Tracking
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Exploiting motion correlations in 3-D articulated human motion tracking
IEEE Transactions on Image Processing
3D Human Body Tracking in Unconstrained Scenes
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Pedestrian recognition with false positive detection by model-based tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
International Journal of Computer Vision
International Journal of Computer Vision
Optimization and Filtering for Human Motion Capture
International Journal of Computer Vision
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking
International Journal of Computer Vision
Tracking and classifying of human motions with Gaussian process annealed particle filter
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Using Gaussian processes for human tracking and action classification
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
3D hand tracking in a stochastic approximation setting
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Tracking human pose with multiple activity models
Pattern Recognition
Quasi Monte Carlo partitioned filtering for visual human motion capture
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Likelihood tuning for particle filter in visual tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Markerless human articulated tracking using hierarchical particle swarm optimisation
Image and Vision Computing
Visual affect recognition
Multiple view human articulated tracking using charting and particle swarm optimisation
Proceedings of the 1st international workshop on 3D video processing
Articulated body motion tracking by combined particle swarm optimization and particle filtering
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
A two-stage Bayesian network method for 3D human pose estimation from monocular image sequences
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Comparison of stochastic filtering methods for 3D tracking
Pattern Recognition
Unscented kalman filtering for articulated human tracking
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Predicting 3d people from 2d pictures
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Articulated body tracking by immune particle filter
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
An accelerated human motion tracking system based on voxel reconstruction under complex environments
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
Multi-view body tracking with a detector-driven hierarchical particle filter
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Unscented Kalman Filtering on Riemannian Manifolds
Journal of Mathematical Imaging and Vision
Cooperative estimation of human motion and surfaces using multiview videos
Computer Vision and Image Understanding
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The Bayesian estimation of 3D human motion from video sequences is quantitatively evaluated using synchronized, multi-camera, calibrated video and 3D ground truth poses acquired with a commercial motion capture system. While many methods for human pose estimation and tracking have been proposed, to date there has been no quantitative comparison. Our goal is to evaluate how different design choices influence tracking performance. Toward that end, we independently implemented two fairly standard Bayesian person trackers using two variants of particle filtering and propose an evaluation measure appropriate for assessing the quality of probabilistic tracking methods. In the Bayesian framework we compare various image likelihood functions and prior models of human motion that have been proposed in the literature. Our results suggest that in constrained laboratory environments, current methods perform quite well. Multiple cameras and background subtraction, however, are required to achieve reliable tracking suggesting that many current methods may be inappropriate in more natural settings. We discuss the implications of the study and the directions for future research that it entails.