Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh

J. Denoulet , Ghiles Mostafaoui (1) , Ludovic Lacassagne (2) , A. Mérigot (3)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 CRCA - Centre de Recherches sur la Cognition Animale - UMR5169
3 IEF - Institut d'électronique fondamentale

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.

Domaines: Traitement du signal et de l'image [eess.SP]

J. Denoulet, Ghiles Mostafaoui, Ludovic Lacassagne, A. Mérigot. Implementing Motion Markov Detection on General Purpose Processor and Associative Mesh. Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), Jul 2005, Palermo, Italy. pp.288 - 293, ⟨10.1109/CAMP.2005.31⟩. ⟨hal-01796471⟩