This paper presents a new method for accurate real-time counting of pedestrians using model-based image processing techniques. In order to minimise computational costs, a specially designed model-specific filter (MSF) is used during the image search phase to obtain the best initial estimate position for the model matching process. It is planned to port the algorithm to a TMS320C50 image processing platform to facilitate a real time working system.
A new method for pedestrian counting
1995-01-01
5 pages
Article (Journal)
English
filtering theory , model-based image processing , TMS320C50 image processing platform , model matching process , image search , pedestrian counting , real time working system , feature extraction , image matching , initial estimate position , computational costs minimisation , real-time counting , image sequences , model-specific filter
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