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The article presents a real-time hardware implementation of a foreground  object detection for a non-static camera setup. The system consists of two  parts: the calculation of the displacement between two consecutive frames  using a correlation based corner tracker and background generation method  ViBE (Visual Background Extractor). The paper discusses details of the used  hardware modules, resource utilization, computing performance and power  dissipation. The solution was evaluated on sequences recorded with a static  and moving camera. The system was successfully tested on a hardware platform  with an FPGA device. It allows to process a 720x576 pixels and 50 frames per  second video stream in real-time.

Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm