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Authors: Abdalbassir Abou-Elailah 1 ; Valerie Gouet-Brunet 1 and Isabelle Bloch 2

Affiliations: 1 Université Paris-Est, France ; 2 Telecom ParisTech and CNRS LTCI, France

ISBN: 978-989-758-076-5

Keyword(s): Spatial Relationships, Angle Histogram, Distances, Fuzzy Object Representation, Detection of ruptures.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Fuzzy Logic ; Image and Video Analysis ; Image Understanding ; Knowledge Acquisition and Representation ; Pattern Recognition ; Software Engineering ; Theory and Methods ; Video Analysis

Abstract: The purpose of this work is to detect strong changes in spatial relationships between objects in video sequences, with a limited knowledge on the objects. First, a fuzzy representation of the objects is proposed based on low-level generic primitives. Furthermore, angle and distance histograms are used as examples to model the spatial relationships between two objects. Then, we estimate the distances between different angle or distance histograms during time. By analyzing the evolution of the spatial relationships during time, ruptures are detected in this evolution. Experimental results show that the proposed method can efficiently detect the ruptures in the spatial relationships, exploiting only low-level primitives. This constitutes a promising step towards event detection in videos, with few a priori models on the objects.

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Paper citation in several formats:
Abou-Elailah, A.; Gouet-Brunet, V. and Bloch, I. (2015). Detection of Ruptures in Spatial Relationships in Video Sequences.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-076-5, pages 110-120. DOI: 10.5220/0005213501100120

@conference{icpram15,
author={Abdalbassir Abou{-}Elailah. and Valerie Gouet{-}Brunet. and Isabelle Bloch.},
title={Detection of Ruptures in Spatial Relationships in Video Sequences},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2015},
pages={110-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005213501100120},
isbn={978-989-758-076-5},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Detection of Ruptures in Spatial Relationships in Video Sequences
SN - 978-989-758-076-5
AU - Abou-Elailah, A.
AU - Gouet-Brunet, V.
AU - Bloch, I.
PY - 2015
SP - 110
EP - 120
DO - 10.5220/0005213501100120

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