MOVING OBJECT ANALYSIS IN VIDEO SEQUENCES USING SPACE-TIME INTEREST POINTS

Alain Simac-Lejeune

Abstract

Among all the features which can be extracted from videos, we propose to use Space-Time Interest Points (STIPs). STIPs are particularly interesting because they are simple and robust low-level features providing an efficient characterization of moving objects within videos. In this paper, after defining STIPs and after giving some of their properties, we will use STIPs to detect moving objects and to characterize specific changes in the movements of these objects. Proposed results are obtained from two very different types of videos, namely athletic videos and animation movies.

References

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Paper Citation


in Harvard Style

Simac-Lejeune A. (2012). MOVING OBJECT ANALYSIS IN VIDEO SEQUENCES USING SPACE-TIME INTEREST POINTS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 201-204. DOI: 10.5220/0003866402010204


in Bibtex Style

@conference{visapp12,
author={Alain Simac-Lejeune},
title={MOVING OBJECT ANALYSIS IN VIDEO SEQUENCES USING SPACE-TIME INTEREST POINTS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={201-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003866402010204},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - MOVING OBJECT ANALYSIS IN VIDEO SEQUENCES USING SPACE-TIME INTEREST POINTS
SN - 978-989-8565-03-7
AU - Simac-Lejeune A.
PY - 2012
SP - 201
EP - 204
DO - 10.5220/0003866402010204