DocumentCode
3039376
Title
Metro railway security algorithms with real world experience adapted to the RATP dataset
Author
Seyve, C.
Author_Institution
Vision Dept., SISELL, Gif-sur-Yvette, France
fYear
2005
fDate
15-16 Sept. 2005
Firstpage
177
Lastpage
182
Abstract
SISELL experimented during six month an underground railway intrusion detection system in a real metro environment in Lyon. Our algorithms have been adapted to fit the Lyon metro configuration, got improved and gained a real world experience. This article presents the implementation of these methods on the CREDS dataset.
Keywords
image processing; object detection; railways; real-time systems; security; Lyon; RATP dataset; SISELL; challenge of real-time event detection solutions; image processing; metro railway security algorithms; underground railway intrusion detection system; Cameras; Data security; Extrapolation; Face detection; Filters; Intrusion detection; Motion analysis; Optical reflection; Rail transportation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. IEEE Conference on
Print_ISBN
0-7803-9385-6
Type
conf
DOI
10.1109/AVSS.2005.1577263
Filename
1577263
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