Tracking Object Using Particle Filter and DCT features

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 169
EP  - 171
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.39
DO  - 10.2991/cse.2013.39
ID  - Lin2013/07
ER  -