TRAFFIC SURVEILLANCE IN REAL-TIME USING HIDDEN MARKOV MODELS
Line Eikvil, Ragnar Bang Huseby · 2001
This paper describes the development of a video-based system for traffic surveillance that works in real-time on a standard PC-platform. The main task of the system, which was developed for and in co-operation with Axicon, is to count passing vehicles to estimate traffic density. More functionality can also be developed on top of this to derive other traffic parameters.