Video Surveillance Application Based on Application Specific Vector Processors
Roman Bartosiński, Martin Daněk, Jaroslav Sýkora, Lukáš Kohout, Petr Honzík · ASEP · 2012
Current video surveillance applications put higher demand both on processing power and personal privacy. This results in new video processing solutions being based on smart cameras. This paper presents a sample implementation of a system that implements core functions of a smart camera - motion detection and labelling - in an FPGA. The implementation is based on the data-flow ASVP platform extended with a number of selection operations that enable to implement constructs with conditional branching. Experimental performance results and power consumption data are presented for an actual implementation in the Xilinx SP605 board.