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Authors: Aysegul Dundar ; Jonghoon Jin and Eugenio Culurciello

Affiliation: Purdue University, United States

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.

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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 (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={280-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004288602800285},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Visual Tracking with Similarity Matching Ratio
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Dundar, A.
AU - Jin, J.
AU - Culurciello, E.
PY - 2013
SP - 280
EP - 285
DO - 10.5220/0004288602800285
PB - SciTePress