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.