DocumentCode
3166152
Title
A new method for pedestrian counting
Author
Zhang, Xiaowei ; Sexton, Graham
Author_Institution
Univ. of Northumbria, Newcastle, UK
fYear
1995
fDate
4-6 Jul 1995
Firstpage
208
Lastpage
212
Abstract
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
Keywords
feature extraction; filtering theory; image matching; image sequences; TMS320C50 image processing platform; computational costs minimisation; feature extraction; image search; image sequences; initial estimate position; model matching process; model-based image processing; model-specific filter; pedestrian counting; real time working system; real-time counting;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950650
Filename
465603
Link To Document