loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Aysegul Dundar ; Jonghoon Jin and Eugenio Culurciello

Affiliation: Purdue University, United States

ISBN: 978-989-8565-48-8

Keyword(s): Tracking, SMR, Similarity Matching Ratio, Template Matching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: This paper presents a novel approach to visual tracking: Similarity Matching Ratio (SMR). The traditional approach of tracking is minimizing some measures of the difference between the template and a patch from the frame. This approach is vulnerable to outliers and drastic appearance changes and an extensive study is focusing on making the approach more tolerant to them. However, this often results in longer, corrective algorithms which do not solve the original problem. This paper proposes a novel approach to the definition of the tracking problems, SMR, which turns the differences into probability measures. Only pixel differences below a threshold count towards deciding the match, the rest are ignored. This approach makes the SMR tracker robust to outliers and points that dramatically change appearance. The SMR tracker is tested on challenging video sequences and achieves state-of-the-art performance.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

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 3.226.243.226

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:
Dundar, A.; Jin, J. and Culurciello, E. (2013). Visual Tracking with Similarity Matching Ratio.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 280-285. DOI: 10.5220/0004288602800285

@conference{visapp13,
author={Aysegul Dundar. and Jonghoon Jin. and Eugenio Culurciello.},
title={Visual Tracking with Similarity Matching Ratio},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={280-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004288602800285},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Visual Tracking with Similarity Matching Ratio
SN - 978-989-8565-48-8
AU - Dundar, A.
AU - Jin, J.
AU - Culurciello, E.
PY - 2013
SP - 280
EP - 285
DO - 10.5220/0004288602800285

Login or register to post comments.

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