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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: A Particle Filter Algorithm for Image Tracking based on Robust Features
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 147-150)
Author(s): Ken Chen, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing, China
Jiaqi Liu, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing, China
Chenyang Mu, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing, China
Zhifeng Li, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing, China
Yonghai Wang, National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics,Beijing, China
Abstract: The image of target would change with attitude of detector platform changes. In order to stable tracking on detector platform with attitude changes, the image tracking algorithm must be adapted to this application. A particle filter algorithm for image tracking based on robust features was proposed in this paper. In this algorithm, normalized gray histogram and histogram of oriented gradients were selected as the image features, and we used particle filter for image tracking. Experiment results indicate that the algorithm could achieve stable tracking.

 

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