NDLI: Intelligent Video for Protecting Crowded Sports Venues

Content Provider	IEEE Xplore Digital Library
Author	Krahnstoever, N. Tu, P. Yu, T. Patwardhan, K. Hamilton, D. Yu, B. Greco, C. Doretto, G.
Copyright Year	2009
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.
Starting Page	116
Ending Page	121
File Size	4079255
Page Count	6
File Format	PDF
ISBN	9781424447558
DOI	10.1109/AVSS.2009.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-02
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Computer vision Event detection Terrorism multi-camera tracking multi-target tracking Calibration Data mining tracking Surveillance application Smart cameras computer vision Cities and towns Protection
Content Type	Text
Resource Type	Article

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