Title :
Neural network based system for counting people
Author :
Huang, D. ; Chow, Tommy W S ; Chau, W.N.
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;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1185313
