Design of Linear Cellular Neural Networks for Motion Sensitive Filtering

@inproceedings{Shi2004DesignOL,
  title={Design of Linear Cellular Neural Networks for Motion Sensitive Filtering},
  author={Bertram E. Shi and Tam{\'a}s Roska and Leon and Chua},
  year={2004}
}
Recently, several researchers have proposed using spatio-temporal filters for image motion analysis. For example, the optical flow field can be calculated from the output of a set of spatio-temporal filters. Some of the most popular spatio-temporal filters are the space-time Gabor filters, obtained by convolving a time varying image with a space-time Gabor function. Based on the cellular neural network paradigm, we propose a new architecture for spatio-temporal filtering called a CNN filter… CONTINUE READING