DocumentCode
391433
Title
Neural network based system for counting people
Author
Huang, D. ; Chow, Tommy W S ; Chau, W.N.
Volume
3
fYear
2002
fDate
5-8 Nov. 2002
Firstpage
2197
Abstract
A new intelligent people-counting system is described in this paper. The proposed system is effective and flexible for the purpose of performing on-line people counting. A RBF neural network is employed for performing the classification task. Extensive and promising results were obtained and the analysis indicates the proposed RBF type classifier provides good results.
Keywords
feature extraction; image segmentation; radial basis function networks; surveillance; RBF neural network; classification task; crowd control; crowd management; crowd surveillance; feature extraction; image processing; image segmentation; image understanding; intelligent people-counting system; neural network based system; on-line people counting; Data mining; Feature extraction; Humans; Image processing; Intelligent systems; Neural networks; Radial basis function networks; Rail transportation; Safety; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN
0-7803-7474-6
Type
conf
DOI
10.1109/IECON.2002.1185313
Filename
1185313
Link To Document