Computer vision application on RIPP10 configurable platform using DIPSA modular architecture

Abstract

Many vision tasks have stringent latency, throughput requirements, and real-time processing demand for greater parallelism. This paper describes a real-time Computer-Vision application that has been developed on a reconfigurable platform called RIPP10 from Altera. We use our simple, modular, reconfigurable and parallel specialized architecture called DIPSA. We analyze and quantify performance requirements demanded by an Automatic Target Recognition and Tracking algorithm and then propose a partitioning of the algorithm into DIPSA modules to achieve frame rate processing. Results of this implementation are used for addressing some issues that benefit and limit configurable computing systems.