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Authors: Cyrille Migniot ; Pascal Bertolino and Jean-Marc Chassery

Affiliation: CNRS Gipsa-Lab DIS, France

Keyword(s): Pedestrian, Segmentation, Silhouette, Contour Segment, Oriented Graph.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping ; Shape Representation and Matching

Abstract: This paper presents a new algorithm for human segmentation in images. The human silhouette is estimated in positive windows that are already obtained with an existing efficient detection method. This accurate segmentation uses the data previously computed in the detection. First, a pre-segmentation step computes the likelihood of contour segments as being a part of a human silhouette. Then, a contour segment oriented graph is constructed from the shape continuity cue and the prior cue obtained by the pre-segmentation. Segmentation is so posed as the computation of the shortest-path cycle which corresponds to the human silhouette. Additionally, the process is achieved iteratively to eliminate irrelevant paths and to increase the segmentation performance. The approach is tested on a human image database and the segmentation performance is evaluated quantitatively.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Migniot, C.; Bertolino, P. and Chassery, J. (2013). Iterative Human Segmentation from Detection Windows using Contour Segment Analysis. 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 405-412. DOI: 10.5220/0004209404050412

@conference{visapp13,
author={Cyrille Migniot. and Pascal Bertolino. and Jean{-}Marc Chassery.},
title={Iterative Human Segmentation from Detection Windows using Contour Segment Analysis},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={405-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004209404050412},
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 - Iterative Human Segmentation from Detection Windows using Contour Segment Analysis
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Migniot, C.
AU - Bertolino, P.
AU - Chassery, J.
PY - 2013
SP - 405
EP - 412
DO - 10.5220/0004209404050412
PB - SciTePress

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