DocumentCode :
1680946
Title :
Intelligent Video for Protecting Crowded Sports Venues
Author :
Krahnstoever, N. ; Tu, P. ; Yu, T. ; Patwardhan, K. ; Hamilton, D. ; Yu, B. ; Greco, C. ; Doretto, G.
Author_Institution :
GE Global Res., Niskayuna, NY, USA
fYear :
2009
Firstpage :
116
Lastpage :
121
Abstract :
Intelligent video in urban settings can be challenging due the presence of crowds, clutter, poor camera placement and continuously changing light conditions. The surveillance of sports venues is particularly difficult, because thousands of people can enter or exit a venue in short periods of time. This paper presents a case study of successfully monitoring a sports venue using a multi-camera multi-target tracking system. The system performed site-wide tracking throughout a network of calibrated cameras and was able to accurately track thousands of people in real-time under challenging conditions. The extracted tracking information was used to detect a range of real-time events such as crowd formation, left luggage, and loitering. In addition all video,track and event information was indexed and stored to allow operators to perform playback and forensic search. This paper will present an overview of the deployed system and discuss the challenges that were encountered during the deployment.
Keywords :
cameras; computer vision; target tracking; video surveillance; camera placement; computer vision systems; intelligent video; left luggage; loitering; multicamera multitarget tracking system; sports venue monitoring; tracking information extraction; Calibration; Cities and towns; Computer vision; Data mining; Event detection; Protection; Real time systems; Smart cameras; Surveillance; Terrorism; application; computer vision; multi-camera tracking; multi-target tracking; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
Type :
conf
DOI :
10.1109/AVSS.2009.87
Filename :
5279520
Link To Document :
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