A multi-sensor surveillance system for public transport environments
J-L Bruyelle1 and S.A. Velastin2
1INRETS, Arcueil, France,
2Kingston University, Kingston, UK
To improve safety and security, public transport camera networks get
bigger and bigger. However, operators are only able to monitor a few cameras
at any given time. It is therefore highly desirable to automate the monitoring
tasks through computer vision. Although considerable work has been carried
out in the field of image processing to detect events and measure flows,
effective implementation of these tasks in a real-world network has not
been fully realized. We describe an approach, consisting of small, localized
computers dedicated to local image processing of one or two cameras only.
These processors are interconnected through a computer network. This talk
describes the implementation of this system, as well as four computer
vision applications that have been implemented on it. Two of them are
linked to security purposes and deal with intrusions and abnormal stationarities.
The two others are related to passenger flow measurements and perform
counting of passengers and queue length measurement. They have all been
intensively tested in real life conditions within several types of network
such as an airport and underground railways. Results from trial results
show the efficiency of the tested solutions.
Paper presented
at Measuring Behavior 2005
, 5th International Conference on Methods and Techniques
in Behavioral Research, 30 August - 2 September 2005, Wageningen, The
Netherlands.
© 2005 Noldus
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