Abstract
This paper presents experiments using a radial basis function variant of the time-delay neural network with image sequences of human faces. The network is shown to be able to learn simple behaviours based on y-axis head rotation and generalise on different data. The network model's suitability for future dynamic vision applications is discussed.
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Howell, A.J., Buxton, H. Recognising Simple Behaviours Using Time-Delay RBF Networks. Neural Processing Letters 5, 97–104 (1997). https://doi.org/10.1023/A:1009657807312
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DOI: https://doi.org/10.1023/A:1009657807312