CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Discriminative Density Propagation for 3D Human Motion Estimation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Priors for People Tracking from Small Training Sets
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A Modular Approach to the Analysis and Evaluation of Particle Filters for Figure Tracking
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
3D People Tracking with Gaussian Process Dynamical Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
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
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
A Quantitative Evaluation of Video-based 3D Person Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Real-time 3-D human body tracking using learnt models of behaviour
Computer Vision and Image Understanding
Particle Swarm Optimization for Object Recognition in Computer Vision
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Editorial: particle swarms: the second decade
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Human body pose estimation with particle swarm optimisation
Evolutionary Computation
Mean and variance of the sampling distribution of particle swarm optimizers during stagnation
IEEE Transactions on Evolutionary Computation
Optimization and Filtering for Human Motion Capture
International Journal of Computer Vision
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
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Multiple view human articulated tracking using charting and particle swarm optimisation
Proceedings of the 1st international workshop on 3D video processing
A swarm cognition realization of attention, action selection, and spatial memory
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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
Markerless and efficient 26-DOF hand pose recovery
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Human skeleton tracking from depth data using geodesic distances and optical flow
Image and Vision Computing
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Full body motion tracking in monocular images using particle swarm optimization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Real-time multi-view human motion tracking using particle swarm optimization with resampling
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
Relative camera localisation in non-overlapping camera networks using multiple trajectories
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Particle Swarm Optimization and Differential Evolution for model-based object detection
Applied Soft Computing
Model-based 3D tracking of an articulated hand from single depth images
Pattern Recognition Letters
Charting-based subspace learning for video-based human action classification
Machine Vision and Applications
Comparing evolutionary algorithms and particle filters for Markerless Human Motion Capture
Applied Soft Computing
Generative tracking of 3D human motion in latent space by sequential clonal selection algorithm
Multimedia Tools and Applications
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In this paper, we address markerless full-body articulated human motion tracking from multi-view video sequences acquired in a studio environment. The tracking is formulated as a multi-dimensional non-linear optimisation and solved using particle swarm optimisation (PSO), a swarm-intelligence algorithm which has gained popularity in recent years due to its ability to solve difficult non-linear optimisation problems. We show that a small number of particles achieves accuracy levels comparable with several recent algorithms. PSO initialises automatically, does not need a sequence-specific motion model and recovers from temporary tracking divergence through the use of a powerful hierarchical search algorithm (HPSO). We compare experimentally HPSO with particle filter (PF), annealed particle filter (APF) and partitioned sampling annealed particle filter (PSAPF) using the computational framework provided by Balan et al. HPSO accuracy and consistency are better than PF and compare favourably with those of APF and PSAPF, outperforming it in sequences with sudden and fast motion. We also report an extensive experimental study of HPSO over ranges of values of its parameters.