Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)

Tracking Object Using Particle Filter and DCT features

Authors
Cong Lin, Chi-Man Pun
Corresponding Author
Cong Lin
Available Online July 2013.
DOI
https://doi.org/10.2991/cse.2013.39How to use a DOI?
Keywords
Object tracking, particle filter, DCT
Abstract
In this paper, we proposed an object tracking method for video stream based on conventional particle filter. Feature vectors are extracted from coefficient matrices of Discrete Cosine Transform (DCT). The feature, as experiment showed, is very robust to occlusion and rotation and it is not sensitive to scale changes. The proposed method is efficient enough to be used in a real-time application. The experiment is carried out on some common used datasets in literature. The result is satisfied and showed the estimated trace follows the target object very closely.
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Proceedings
2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90786-77-70-3
DOI
https://doi.org/10.2991/cse.2013.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Cong Lin
AU  - Chi-Man Pun
PY  - 2013/07
DA  - 2013/07
TI  - Tracking Object Using Particle Filter and DCT features
BT  - 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/cse.2013.39
DO  - https://doi.org/10.2991/cse.2013.39
ID  - Lin2013/07
ER  -