loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Oumaima Sliti ; Chekib Gmati ; Fouzi Benzarti and Hamid Amiri

Affiliation: Tunis El Manar University, Tunisia

ISBN: 978-989-758-018-5

Keyword(s): Object Tracking, Mean Shift, Log-Gabor Filter, Enhancement, Feature Encoding.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: The performance of the tracking algorithm relies heavily on the target structural information accuracy. In this paper, we propose a robust object tracking method based on the log-Gabor texture and color histogram. Our hypothesis is that by adding log-Gabor filter to color features, and then embedded it in the mean shift framework, tracking performances will notably enhance. Compared with several methods of state-of-the-art mean shift trackers, our approach extracts the target information efficiently. Experimental results on various challenging videos show that the proposed method improves the tracking with fewer mean shift iterations.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.147.142.16

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sliti O., Gmati C., Benzarti F. and Amiri H. (2014). Robust Object Tracking using Log-Gabor Filters and Color Histogram.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 687-694. DOI: 10.5220/0004829306870694

@conference{icpram14,
author={Oumaima Sliti and Chekib Gmati and Fouzi Benzarti and Hamid Amiri},
title={Robust Object Tracking using Log-Gabor Filters and Color Histogram},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={687-694},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004829306870694},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Robust Object Tracking using Log-Gabor Filters and Color Histogram
SN - 978-989-758-018-5
AU - Sliti O.
AU - Gmati C.
AU - Benzarti F.
AU - Amiri H.
PY - 2014
SP - 687
EP - 694
DO - 10.5220/0004829306870694

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.