DocumentCode :
2785405
Title :
Automatic Visual Analysis for Transportation Security
Author :
Haering, Niels ; Shafique, Khurram
Author_Institution :
ObjectVideo, Reston
fYear :
2007
fDate :
16-17 May 2007
Firstpage :
13
Lastpage :
18
Abstract :
The safety and security of transportation infrastructure has become the focus of increased attention in the post-9/11 era. Concerns in this area include the possibility of terrorist activity directed at travelers and/or property. As the leader in intelligent video, ObjectVideo is developing intelligent capabilities specifically tailored to meet the needs of the transportation industry that work effectively in diverse environments, for example, tunnels of a subway, highway rail grade crossings, and air and seaports. ObjectVideo´s intelligent system employs a network of visual sensors to monitor sensitive areas. The technology accurately detects, identifies, classifies, and tracks objects and people; automatically detects activities that violate user specified security rules and notifies security personnel in real-time about rule violations and suspicious activities. The system automatically monitors user specified areas for unauthorized people and vehicles loitering on a platform, for suspicious objects (e.g., backpacks or bags) left on or near sensitive locations, or for objects that are large enough to cause serious accidents. Because the system is capable of distinguishing non-threatening objects and controlling false alerts, the software maximizes the effectiveness of security personnel, allowing them to focus their efforts on potential threats, enhancing protection for all passengers, freight and facilities.
Keywords :
computerised monitoring; safety; security; terrorism; transportation; video surveillance; ObjectVideo; automatic visual analysis; intelligent video; security personnel; sensitive areas monitoring; software; tansportation infrastructure safety; terrorist activity; transportation security; visual sensors; visual surveillance system; Air transportation; Automated highways; Intelligent networks; Intelligent sensors; Intelligent systems; Object detection; Personnel; Rail transportation; Safety; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security, 2007 IEEE Conference on
Conference_Location :
Woburn, MA
Print_ISBN :
1-4244-1053-5
Electronic_ISBN :
1-4244-1053-5
Type :
conf
DOI :
10.1109/THS.2007.370012
Filename :
4227775
Link To Document :
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