Using n-grams Models for Visual Semantic Place Recognition

Mathieu Dubois; Emmanuelle Frenoux; Philippe Tarroux

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Paper

Using n-grams Models for Visual Semantic Place Recognition

Topics: Categorization and Scene Understanding; Machine Learning Technologies for Vision; Vision for Robotics

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 808-813, 2013 , Barcelona, Spain

Authors: Mathieu Dubois ¹ ; Emmanuelle Frenoux ¹ and Philippe Tarroux ²

Affiliations: ¹ Univ Paris-Sud and LIMSI-CNRS, France ; ² LIMSI-CNRS and École Normale Supérieure, France

Keyword(s): Semantic Place Recognition, Hidden Markov Models, n-grams.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: The aim of this paper is to present a new method for visual place recognition. Our system combines global image characterization and visual words, which allows to use efficient Bayesian filtering methods to integrate several images. More precisely, we extend the classical HMM model with techniques inspired by the field of Natural Language Processing. This paper presents our system and the Bayesian filtering algorithm. The performance of our system and the influence of the main parameters are evaluated on a standard database. The discussion highlights the interest of using such models and proposes improvements.

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Paper citation in several formats:

Dubois, M.; Frenoux, E. and Tarroux, P. (2013). Using n-grams Models for Visual Semantic Place Recognition. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 808-813. DOI: 10.5220/0004298708080813

@conference{visapp13,
author={Mathieu Dubois. and Emmanuelle Frenoux. and Philippe Tarroux.},
title={Using n-grams Models for Visual Semantic Place Recognition},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={808-813},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004298708080813},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Using n-grams Models for Visual Semantic Place Recognition
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Dubois, M.
AU - Frenoux, E.
AU - Tarroux, P.
PY - 2013
SP - 808
EP - 813
DO - 10.5220/0004298708080813
PB - SciTePress