Real-time Moving Object Detection and Tracking System based on SOPC
Chen Chang-min · 2011
The real-time performance has been increasingly required with the progress of intelligent video surveillance system,but relevant algorithm is increasing complex.To realize the real-time moving object detection and tracking,it always utilizes the system on a programmable chip(SOPC) with high speed and concurrent flow processing ability,which has a wide application prospect.This article designed a real-time moving object detection and tracking system adopted by FPGA as core processor.The system used background subtraction method based on accumulative difference updating for detecting moving object.The Kalman filter and histogram matching algorithm have been used for object tracking.The experimental results show that the system can timely realize the moving object detection and tracking for video sequence in static scene effectively.