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ICIP
2010
IEEE

Probabilistic human pose recovery from 2D images

13 years 10 months ago
Probabilistic human pose recovery from 2D images
Image based human pose recovery has many applications in different industries such as games, entertainment, physiological rehabilitation and biometrics. This paper presents a new pose estimation algorithm from monocular images based on a nonlinear mapping of human silhouettes, coded using a collection of local image moments, to the pose space using a mixture of Neural Networks (NN) regressors. All parameters are estimated automatically. Experiments and comparative results show a superior performance of the proposed method.
Farid Flitti, Mohammed Bennamoun, Du Q. Huynh, Rob
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Farid Flitti, Mohammed Bennamoun, Du Q. Huynh, Robyn A. Owens
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