DocumentCode
3290271
Title
On the use of Video Content Analysis in ITS : A review from academic to commercial applications
Author
Machy, Caroline ; Carincotte, Cyril ; Desurmont, Xavier
Author_Institution
Image Dept., Multitel asbl, Mons, Belgium
fYear
2009
fDate
20-22 Oct. 2009
Firstpage
574
Lastpage
579
Abstract
Stand-alone cameras or CCTV networks are nowadays commonly present in public areas such as city centers, stores and more recently in transportation infrastructures. In the meantime, automatic processing of video data is a field of activity stirring up the utmost attention in the pattern recognition community; state-of-the-art advances in this area enable the reliable extraction of features and the investigation of numerous applications dedicated to ITS. A first obvious field of application of Video Content Analysis (VCA) consists in improving safety and security in transport´s context. Embedded VCA in vehicles can track pedestrians to avoid collisions, improving safety. Used in railway station, VCA are able to detect left luggage allowing to enhance security. Video streams available from such installations may also represent a useful source of information for statistical transportation applications, e.g. monitoring of road traffic conditions or providing accurate counting statistics in railway/subway stations. This paper proposes an overview of the VCA applications in terms of safety, security and efficiency for ITS, with a specific focus on the usability of such VCA systems (emerging research topics, state-of-the-art studies, already commercialized applications, etc).
Keywords
automated highways; feature extraction; object detection; rail traffic; railway safety; road safety; road traffic; security; traffic engineering computing; transportation; video signal processing; CCTV networks; collision avoidance; counting statistics; feature extraction; improving safety; intelligent transportation system; luggage detection; pattern recognition; pedestrian tracking; railway station; road traffic condition monitoring; stand-alone cameras; subway station; transport safety; transport security; transportation infrastructure; video content analysis; video data processing; video streams; Cameras; Cities and towns; Data mining; Feature extraction; Information security; Pattern recognition; Rail transportation; Road accidents; Streaming media; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transport Systems Telecommunications,(ITST),2009 9th International Conference on
Conference_Location
Lille
Print_ISBN
978-1-4244-5346-7
Electronic_ISBN
978-1-4244-5347-4
Type
conf
DOI
10.1109/ITST.2009.5399288
Filename
5399288
Link To Document