Title :
Automatic pedestrian counting using image processing techniques
Author :
Zhang, X. ; Sexton, G.
Author_Institution :
Dept. of Electr., Electron. Eng. & Phys., Northumbria Univ., Newcastle Upon Tyne, UK
fDate :
5/25/1995 12:00:00 AM
Abstract :
A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80% accuracy in the counting results
Keywords :
computer vision; image processing; image recognition; image segmentation; Paris; St Lazare Railway Station; TMS320C50 based platform; automatic pedestrian counting; image processing algorithm; image processing techniques; real time;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19950574
