FPGA architecture for object segmentation in real time

Object segmentation from a video sequence is a function necessary for many applications of artificial vision systems such as: video surveillance, traffic monitoring, detection and tracking for video teleconferencing, video editing, etc. In this paper, we present an architecture for object segmentation, taking advantage of the data and logical parallel opportunities offered by a field programmable gate array (FPGA) architecture. At a clock rate of 40 MHz, the architecture can process 30 frames per second, where the image resolution is 240 × 120..