Distributed data fusion for real-time crowding estimation
Signal Processing
Self-organizing maps
A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform
Neural Processing Letters
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Three learning phases for radial-basis-function networks
Neural Networks
Square Unit Augmented, Radially Extended, Multilayer Perceptrons
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Comparing support vector machines with Gaussian kernels to radialbasis function classifiers
IEEE Transactions on Signal Processing
A neural-based crowd estimation by hybrid global learning algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Conditional fuzzy clustering in the design of radial basis function neural networks
IEEE Transactions on Neural Networks
Decision trees can initialize radial-basis function networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Target Recognition of FLIR Images on Radial Basis Function Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Real-Time Detection of Passing Objects Using Virtual Gate and Motion Vector Analysis
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
K-means based segmentation for real-time zenithal people counting
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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A people-counting system using hybrid RBF neural network is described. The proposed system is effective and flexible for the purpose of performing on-line people counting. Compared with other conventional approach, this system introduces a novel method for feature extraction. In this Letter, a new type of hybrid RBF network is developed to enhance the classification performance. The hybrid RBF based people-counting system is thoroughly compared with other approaches. Extensive and promising results were obtained and the analysis indicates that the proposed hybrid RBF based system provides excellent people-counting results in an open passage. A supervised clustering method is proposed for initialising the hybrid RBF network. In order to substantiate the introduction of the hybrid RBF and the proposed supervised clustering algorithm, test results on a vowel recognition benchmark dataset are also included in the Letter.