Скачать или смотреть MOVING OBJECT DETECTION USING FPGA

The detection of moving object is very essential to automated video surveillance, object analysis and recognition. How can we detect the moving object in a accurately and quickly manner is a very important step for further analysis, e.g., object recognition, object tracking, event detection, in a visual surveillance system. However most of the moving object detection systems for highly complex algorithm are based on a high-level micro-processor. Moreover, the detection accuracy is often affected by the environment of the system used. In this paper, we proposes using an FPGA (Field Programmable Gate Array) to realize a visual surveillance system so that the real-time requirement can be achieved. In this paper, a fusion algorithm of background difference and Sobel will used. This algorithm can not only accurately detect the moving target, but also describe the appearance very well and eliminate a lot of irrelevant noise and also contour of the target. The detection and tracking system is based on the FPGA development platform of DE2-115 development board. Also In our implementation of the design we used the background subtraction based method