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Foreground Detection Optimization for SoCs embedded on Smart Cameras by Vincenzo Carletti; Luca Del Pizzo; Gennaro Percannella; Mario Vento is a scholarly article available to read on EtoBox.

What is Foreground Detection Optimization for SoCs embedded on Smart Cameras about?

In this paper we study the effectiveness of a set of optimizations applied on a foreground detection and background maintainance algorithm. The optimizations were specifically devised to run in real time on hardware architectures embedded on commercial smart cameras. In order to achieve these aims we focused our attention on two kinds of optimizations based on the elimination of floatingpoint operations and the adoption of SIMD instructions. The optimized version of the algorithm has been tested on two RISC architectures (CRISv32 and MIPS 32Kc) considering different stream resolutions. The results confirm the effectiveness of the proposed solutions, which allows to process in real-time up to VGA resolution.

Author

Vincenzo Carletti; Luca Del Pizzo; Gennaro Percannella; Mario Vento

Publisher

ACM

Published

2014

Language

EN