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Authors: Ricardo Sánchez-Sáez 1 ; Alfons Juan 1 ; Taizo Umezaki 2 ; Yuki Inoue 2 ; Masahiro Hoguro 2 and Setta Takefumi 3

Affiliations: 1 Institut Tecnològic d’Informàtica–DSIC, Universitat Politècnica de València, Spain ; 2 Nagoya Institute of Technology, Japan ; 3 CHUBU Electric Power Co., Inc., Japan

Abstract: Pattern recognition techniques are used in the construction of video surveillance systems. In this work a video-based security system that detects and classifies laterally crossing objects, introduced in a previous paper, is reviewed. More reliable results for the system are presented, obtained by performing a leaving one out on the data corpus rather than employing a manual approach. Other alternatives in the pattern preprocessing are explored: we employ greyscale patterns, and implement a different method for calculating difference images of consecutive video frames. A final benchmark of the classification part is done comparing the results obtained using dynamic time warping, to the ones obtained using discrete hidden Markov models plus vector quantization.

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Paper citation in several formats:
Sánchez-Sáez, R.; Juan, A.; Umezaki, T.; Inoue, Y.; Hoguro, M. and Takefumi, S. (2008). Improvements in Detection and Classification of Passing Objects for a Security System. In Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS; ISBN 978-989-8111-42-5, SciTePress, pages 205-212. DOI: 10.5220/0001730202050212

@conference{pris08,
author={Ricardo Sánchez{-}Sáez. and Alfons Juan. and Taizo Umezaki. and Yuki Inoue. and Masahiro Hoguro. and Setta Takefumi.},
title={Improvements in Detection and Classification of Passing Objects for a Security System},
booktitle={Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS},
year={2008},
pages={205-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001730202050212},
isbn={978-989-8111-42-5},
}

TY - CONF

JO - Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS
TI - Improvements in Detection and Classification of Passing Objects for a Security System
SN - 978-989-8111-42-5
AU - Sánchez-Sáez, R.
AU - Juan, A.
AU - Umezaki, T.
AU - Inoue, Y.
AU - Hoguro, M.
AU - Takefumi, S.
PY - 2008
SP - 205
EP - 212
DO - 10.5220/0001730202050212
PB - SciTePress

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