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Paper

Feature Matching using CO-Inertia Analysis for People Tracking

Topics:Tracking and Visual Navigation

In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP,280-287,2014, Lisbon, Portugal

Authors:Srinidhi Mukanahallipatna Simha;Duc Phu Chau andFrancois Bremond

Affiliation:INRIA, France

Keyword(s):Tracking, HOG, Co-Inertia, Physical Objects.

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

Abstract:Robust object tracking is a challenging computer vision problem due to dynamic changes in object pose, illumination, appearance and occlusions. Tracking objects between frames requires accurate matching of their features. We investigate real time matching of mobile object features for frame to frame tracking. This paper presents a new feature matching approach between objects for tracking that incorporates one of the multivariate analysis method called Co-Inertia Analysis abbreviated as COIA. This approach is being introducedto compute the similarity between Histogram of Oriented Gradients (HOG) features of the tracked objects. Experiments conducted shows the effectiveness of this approach for mobile object feature tracking.

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Paper citation in several formats:

Mukanahallipatna Simha, S., Chau, D. P. and Bremond, F. (2014).Feature Matching using CO-Inertia Analysis for People Tracking. InProceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 280-287. DOI: 10.5220/0004669502800287

@conference{visapp14,
author={Srinidhi {Mukanahallipatna Simha} and Duc Phu Chau and Francois Bremond},
title={Feature Matching using CO-Inertia Analysis for People Tracking},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={280-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004669502800287},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Feature Matching using CO-Inertia Analysis for People Tracking
SN - 978-989-758-009-3
IS - 2184-4321
AU - Mukanahallipatna Simha, S.
AU - Chau, D.
AU - Bremond, F.
PY - 2014
SP - 280
EP - 287
DO - 10.5220/0004669502800287
PB - SciTePress