HUMAN BODY TRACKING BASED ON PROBABILITY EVOLUTIONARY ALGORITHM
Shuhan Shen, Weirong Chen
2006
Abstract
A novel evolutionary algorithm called Probability Evolutionary Algorithm (PEA), and a method based on PEA for visual tracking of human body are presented. PEA is inspired by the Quantum computation and the Quantum-inspired Evolutionary Algorithm, and it has a good balance between exploration and exploitation with very fast computation speed. The individual in PEA is encoded by the probabilistic compound bit, defined as the smallest unit of information, for the probabilistic representation. The observation step is used in PEA to obtain the observed states of the individual, and the update operator is used to evolve the individual. In the PEA based human tracking framework, tracking is considered to be a function optimization problem, so the aim is to optimize the matching function between the model and the image observation. Then PEA is used to optimize the matching function. Experiments on synthetic and real image sequences of human motion demonstrate the effectiveness, significance and computation efficiency of the proposed human tracking method.
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Paper Citation
in Harvard Style
Shen S. and Chen W. (2006). HUMAN BODY TRACKING BASED ON PROBABILITY EVOLUTIONARY ALGORITHM . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 303-309. DOI: 10.5220/0001362603030309
in Bibtex Style
@conference{visapp06,
author={Shuhan Shen and Weirong Chen},
title={HUMAN BODY TRACKING BASED ON PROBABILITY EVOLUTIONARY ALGORITHM},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={303-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001362603030309},
isbn={972-8865-40-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - HUMAN BODY TRACKING BASED ON PROBABILITY EVOLUTIONARY ALGORITHM
SN - 972-8865-40-6
AU - Shen S.
AU - Chen W.
PY - 2006
SP - 303
EP - 309
DO - 10.5220/0001362603030309