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Authors: Hervè Guillaume 1 ; Mathieu Dubois 1 ; Emmanuelle Frenoux 2 and Philippe Tarroux 3

Affiliations: 1 Univ Paris-Sud and LIMSI - CNRS, France ; 2 LIMSI - CNRS; Univ Paris-Sud and Univ Paris-Sud, France ; 3 LIMSI - CNRS and Ecole Normale Suprieure, France

ISBN: 978-989-8425-47-8

Keyword(s): Place recognition, Bag-of-Words, Temporal integration, Generative learning.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Motion, Tracking and Stereo Vision ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: This paper presents an original approach for visual place recognition and categorization. The simple idea behind our model is that, for a mobile robot, use of the previous frames, and not only the one, can ease recognition. We present an algorithm for integrating the answers from different images. In this perspective, scenes are encoded thanks to a global signature (the context of a scene) and then classified in an unsupervised way with a Self-Organizing Map. The prototypes form a visual dictionary which can roughly describe the environment. A place can then be learnt and represented through the frequency of the prototypes. This approach is a variant of Bag-of-Words approaches used in the domain of scene classification with the major difference that the different “words” are not taken from the same image but from temporally ordered images. Temporal integration allows us to use Bag-of-Words together with a global characterization of scenes. We evaluate our system with the COLD database . We perform a place recognition task and a place categorization task. Despite its simplicity, thanks to temporal integration of visual cues, our system achieves state-of-the-art performances. (More)

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Paper citation in several formats:
Guillaume, H.; Dubois, M.; Frenoux, E. and Tarroux, P. (2011). TEMPORAL BAG-OF-WORDS - A Generative Model for Visual Place Recognition using Temporal Integration.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 286-295. DOI: 10.5220/0003353202860295

@conference{visapp11,
author={Hervè Guillaume. and Mathieu Dubois. and Emmanuelle Frenoux. and Philippe Tarroux.},
title={TEMPORAL BAG-OF-WORDS - A Generative Model for Visual Place Recognition using Temporal Integration},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={286-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003353202860295},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - TEMPORAL BAG-OF-WORDS - A Generative Model for Visual Place Recognition using Temporal Integration
SN - 978-989-8425-47-8
AU - Guillaume, H.
AU - Dubois, M.
AU - Frenoux, E.
AU - Tarroux, P.
PY - 2011
SP - 286
EP - 295
DO - 10.5220/0003353202860295

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