Visual Surveillance in Public Transport: From Research to Application
To improve security and passenger flow management, public transport camera networks gets bigger and bigger. However, operators are only able to monitor a few cameras at any given time. This fact makes such a system more and more inefficient as the number of cameras grows. 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 perform detect events and measure flows for public transport operators, effective implementation of these tasks in a real-world network has not been fully realised. The working habits of the operators, directly derived from the screen wall concept, tend to favour the transmission of baseband video signals to a centralised processing computer. This approach is not well suited to computer-based image processing. We propose a different approach, consisting of small, localised computers dedicated to local image processing of one or two cameras only. These processors are interconnected through a computer network. The bandwidth of such network is sufficient even for a large number of cameras, since it only carries the small amount of useful data extracted from image processing and only when required (when an incident occurs, or at specific time intervals for traffic monitoring tasks).
image processing network algorithm operators
Louahdi KHOUDOUR Amaury FLANCQUART Jean-Luc BRUYELLE Thomas LECLERCQ
Inrets-Leost 20,rue Elisée Reclus 59650 Villeneuve dAscq Multitel Parc Scientifique Initialis Rue Pierre et Marie Curie 2 7000 Mons Belgique
国际会议
北京
英文
2007-05-30（万方平台首次上网日期，不代表论文的发表时间）