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Authors: Tobias Senst ; Brigitte Unger ; Ivo Keller and Thomas Sikora

Affiliation: Technische Universität Berlin, Germany

ISBN: 978-989-8425-99-7

Keyword(s): Feature detector, Feature detection Performance evaluation, Tracking, KLT.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Feature Selection and Extraction ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: Due to its high computational efficiency the Kanade Lucas Tomasi feature tracker is still widely accepted and a utilized method to compute sparse motion fields or trajectories in video sequences. This method is made up of a Good Feature To Track feature detection and a pyramidal Lucas Kanade feature tracking algorithm. It is well known that the Good Feature To Track takes into account the Aperture Problem, but it does not consider the Generalized Aperture Problem. In this paper we want to provide an evaluation of a set of alternative feature detection methods. These methods are taken from feature matching techniques like FAST, SIFT and MSER. The evaluation is based on the Middlebury dataset and performed by using an improved pyramidal Lucas Kanade method, called RLOF feature tracker. To compare the results of the feature detector and RLOF pair, we propose a methodology based on accuracy, efficiency and covering measurements.

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Paper citation in several formats:
Senst, T.; Unger, B.; Keller, I. and Sikora, T. (2012). PERFORMANCE EVALUATION OF FEATURE DETECTION FOR LOCAL OPTICAL FLOW TRACKING.In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8425-99-7, pages 303-309. DOI: 10.5220/0003731103030309

@conference{icpram12,
author={Tobias Senst. and Brigitte Unger. and Ivo Keller. and Thomas Sikora.},
title={PERFORMANCE EVALUATION OF FEATURE DETECTION FOR LOCAL OPTICAL FLOW TRACKING},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2012},
pages={303-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003731103030309},
isbn={978-989-8425-99-7},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - PERFORMANCE EVALUATION OF FEATURE DETECTION FOR LOCAL OPTICAL FLOW TRACKING
SN - 978-989-8425-99-7
AU - Senst, T.
AU - Unger, B.
AU - Keller, I.
AU - Sikora, T.
PY - 2012
SP - 303
EP - 309
DO - 10.5220/0003731103030309

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