Parallel architecture for video processing in a smart camera system

In this paper, we present our research on parallel architectures for a smart camera system. We analyze the available data independencies for a particular application, namely human detection and activity recognition, and discuss the potential architectures to exploit the parallelism resulted from these independencies. Three architectures-VLIW, symmetric parallel, and macro-pipeline architectures-are discussed and their performances are presented.