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Authors: Shuhan Shen and Weirong Chen

Affiliation: School of Electrical Engineering, Southwest Jiaotong University, China

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Tracking, Human Tracking, Probabilistic evolutionary algorithm.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

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 a nd computation efficiency of the proposed human tracking method. (More)

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Paper citation in several formats:
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

@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},
}

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

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