A hardware neural network for target tracking

摘要

The Zero Instruction Set Computer (ZISC) is an integrated circuit devised by IBM to realize a restricted Coulomb energy neural network. In our application, it functions as a parallel computer that calculates the correlation coefficients between an input pattern and patterns stored in its neurons. We explored the possibility of using the ZISC in a target tracking system by devising algorithms to take advantage of the ZISC's parallelism and testing them on real video sequences. Our experiments indicate that the ZISC does improve appreciably the computing time compared to a sequential version of the algorithm.