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Authors: Tobias Brosch and Heiko Neumann

Affiliation: Ulm University, Germany

ISBN: 978-989-8425-99-7

Keyword(s): Combination of HMAX and HOGs, Attention, Object localization, Performance evaluation.

Related Ontology Subjects/Areas/Topics: Applications ; Feature Selection and Extraction ; Object Recognition ; Pattern Recognition ; Shape Representation ; Software Engineering ; Theory and Methods

Abstract: Object detection and localization is a challenging task. Among several approaches, more recently hierarchical methods of feature-based object recognition have been developed and demonstrated high-end performance measures. Inspired by the knowledge about the architecture and function of the primate visual system, the computational HMAX model has been proposed. At the same time robust visual object recognition was proposed using feature distributions, e.g. histograms of oriented gradients (HOGs). Since both models build upon an edge representation of the input image, the question arises, whether one kind of approach might be superior to the other. Introducing a new biologically inspired attention steered processing framework, we demonstrate that the combination of both approaches gains the best results.

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Paper citation in several formats:
Brosch, T. and Neumann, H. (2012). THE COMBINATION OF HMAX AND HOGS IN AN ATTENTION GUIDED FRAMEWORK FOR OBJECT LOCALIZATION.In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 281-288. DOI: 10.5220/0003708702810288

@conference{icpram12,
author={Tobias Brosch. and Heiko Neumann.},
title={THE COMBINATION OF HMAX AND HOGS IN AN ATTENTION GUIDED FRAMEWORK FOR OBJECT LOCALIZATION},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={281-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003708702810288},
isbn={978-989-8425-99-7},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - THE COMBINATION OF HMAX AND HOGS IN AN ATTENTION GUIDED FRAMEWORK FOR OBJECT LOCALIZATION
SN - 978-989-8425-99-7
AU - Brosch, T.
AU - Neumann, H.
PY - 2012
SP - 281
EP - 288
DO - 10.5220/0003708702810288

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