Particle Filter Algorithm for Object Tracking Based on Color Local Entropy
Joint Authors
Wang, Huan
Li, Yuan
Wang, Qinglin
Dai, Yaping
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
To achieve accurate visual object tracking and overcome the difficulties brought by the object deformation, occlusion, and illumination variations, a particle filter for object tracking algorithm based on color local entropy (CLE) is proposed.
First we improved the traditional histogram weighted function by using a scale factor.
Then, for the shortcoming that the color feature is sensitive to illumination and environmental interference, a color local entropy object observation model is constructed by mapping the object from color feature space to local entropy space.
In addition, an adaptive updating strategy of the object template is designed and the number of particle is adjusted dynamically according to the tracking performance.
The experimental results show that compared with several existing algorithms, the proposed algorithm is more effective and robust for the real-time object tracking under the situation of illumination variation, object occlusion, and nonlinear motion.
American Psychological Association (APA)
Wang, Huan& Wang, Qinglin& Li, Yuan& Dai, Yaping. 2013. Particle Filter Algorithm for Object Tracking Based on Color Local Entropy. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-511643
Modern Language Association (MLA)
Wang, Huan…[et al.]. Particle Filter Algorithm for Object Tracking Based on Color Local Entropy. Advances in Mechanical Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-511643
American Medical Association (AMA)
Wang, Huan& Wang, Qinglin& Li, Yuan& Dai, Yaping. Particle Filter Algorithm for Object Tracking Based on Color Local Entropy. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-511643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511643