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Object Tracking Based on Color Space Adjustable Technology Combined with Particle Filter
PROCEEDINGS

, , , National Changhua University of Education, Taiwan ; , Da-Yeh University, Taiwan ; , , National Changhua University of Education, Taiwan

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, NV, USA ISBN 978-1-939797-05-6 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

This paper proposes an approach to track moving object in real time and to predict and trace the observed targets based on the particle filter. This system includes three parts. The first is the foreground segmentation applying color space transformation to separate the moving objects from the background. The second part is the processing to filter out the noise and to mark the move targets with frame. The final part is using the particle filter to trace objects. To estimate the location of next state and track the moving objects, it applies the prior and current state based on the particle filter technology. Experimental result proved this method to be accurate for real time tracking of objects. Keywords: particle filter, foreground segmentation, object track, color space transformation

Citation

Yeh, M.T., Huang, Y.X., Chen, S.M., Yu, C.C., Chung, Y.N. & Lin, C.T. (2013). Object Tracking Based on Color Space Adjustable Technology Combined with Particle Filter. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2013--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1623-1628). Las Vegas, NV, USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 22, 2019 from .

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