Moving Object Detection Based on Adaptive Background Model
Guohua Geng · Computer Technology and Development · 2007
With the acceleration of urbanization,automobile becomes more and more popular and people are enjoying the convenience that offer;however,people are trapped in the bewilderment of traffic congestion.Along with the computer hardware technology and the computer vision technology development,a computer vision-based traffic monitoring system has become possible.The main task for most a computer vision-based traffic monitoring application system is to identify the moving objects form a video sequence.To solve this problem,authors present a new statistics description of the whole background scene based on the video sequence,establish an effective algorithm for moving object detection.This method can adapt to the changing background with high robustness and excellent real time performance.