Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
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
Multi-dimensional visual tracking using scatter search particle filter
Pattern Recognition Letters
Model based human motion tracking using probability evolutionary algorithm
Pattern Recognition Letters
Human body pose estimation with particle swarm optimisation
Evolutionary Computation
Advances in Differential Evolution
Advances in Differential Evolution
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
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
Evaluation of parallel particle swarm optimization algorithms within the CUDATM architecture
Information Sciences: an International Journal
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Co-evolutionary predictors for kinematic pose inference from RGBD images
Proceedings of the 14th annual conference on Genetic and evolutionary computation
An improved CUDA-based implementation of differential evolution on GPU
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A Metaheuristic Bat-Inspired Algorithm for Full Body Human Pose Estimation
CRV '12 Proceedings of the 2012 Ninth Conference on Computer and Robot Vision
The Vitruvian manifold: Inferring dense correspondences for one-shot human pose estimation
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Accurate 3D pose estimation from a single depth image
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
A data-driven approach for real-time full body pose reconstruction from a depth camera
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
A comparative study of three GPU-based metaheuristics
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
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This paper describes a method to estimate the body pose of a human from the point cloud obtained from a depth sensor. It uses Differential Evolution to find the best match between a candidate pose, represented by an instance of a 42-parameter articulated model of a human, and the point cloud. The results, compared to other four state-of-the art methods on a publicly available dataset, show that the method has good ability to estimate the pose of a person and to track him in video sequences. The entire method, from Differential Evolution to fitness computation, is run on nVIDIA GPUs. Thanks to its massively parallel implementation in CUDA-C, it produces pose estimates in real time.