Real Time Detection of Moving Object Based On FPGA

Trupti A. Chopkar, Shashikant Lahade

Abstract: Moving object detection and tracking algorithm is become very popular now days and one of the current challenging research topics in various field, such as intelligent airport security system, transportation system, military security, identification of person, anomalous behavior detection, computer vision, video surveillance applications, and so on. As well as it become key technology to fight against terrorism, crime, public safety and for efficient management of traffic. Fast and reliable algorithms are required for making the video surveillance systems smart. In this work the object detection algorithm implementation can be employed in real time systems. And new method is use to detect moving object which is based on background subtraction method and its FPGA implementation in surveillance video applications. In this method, we used static camera for capturing video and first frame of video is directly consider as reference background frame and this reference background frame is subtract from current frame to detect moving object. Reference background frame is the first frame and current frame is the frame under processing. The background subtraction algorithm implementation is done in two domains, code is written in MATLAB then using simulation.

Keywords: FPGA, Moving Object Detection, Static Camera, Reference Background, Current frame, MATLAB.