J. Denoulet, Ghilès Mostafaoui, L. Lacassagne, A. Mérigot
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Implementing motion Markov detection on general purpose processor and associative mesh
We present a robust implementation of a motion detection algorithm based on a Markovian relaxation both on general purpose processors, and on a specialized architecture, the associative mesh. The mesh architecture is an instance of the associative nets model targeting real time execution of low level image algorithms and vision-SoC implementation. The algorithm implementation on both architectures is described, and also the required optimizations to speedup the execution.