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Author: Séverine Dubuisson

Affiliation: Laboratoire d’Informatique de Paris 6 (LIP6/UPMC), France

Keyword(s): Fast histogram computation, Integral histogram.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Early Vision and Image Representation ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: In this paper we present a new method for fast histogram computing. Based on the known tree-representation histogram of a region, also called reference histogram,, we want to compute the one of another region. The idea consists in computing the spatial differences between these two regions and encode it to update the histogram. We never need to store complete histograms, except the reference image one (as a preprocessing step). We compare our approach with the well-known integral histogram, and obtain better results in terms of processing time while reducing the memory footprint. We show theoretically and with experimental results the superiority of our approach in many cases. Finally, we demonstrate the advantage of this method on a visual tracking application using a particle filter by improving its time computing.

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Paper citation in several formats:
Dubuisson, S. (2010). TREE-STRUCTURED TEMPORAL INFORMATION FOR FAST HISTOGRAM COMPUTATION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 13-22. DOI: 10.5220/0002815800130022

@conference{visapp10,
author={Séverine Dubuisson},
title={TREE-STRUCTURED TEMPORAL INFORMATION FOR FAST HISTOGRAM COMPUTATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={13-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002815800130022},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - TREE-STRUCTURED TEMPORAL INFORMATION FOR FAST HISTOGRAM COMPUTATION
SN - 978-989-674-029-0
IS - 2184-4321
AU - Dubuisson, S.
PY - 2010
SP - 13
EP - 22
DO - 10.5220/0002815800130022
PB - SciTePress