A Motion Detection Algorithm based on Surendra Background Updating and Background Subtraction
Shunmiao Zhang · Journal of Nanjing Institute of Technology · 2011
To detect the motion of objects under monitored circumstances,a motion detection algorithm based on Surendra background updating and background subtraction is proposed.The visual images are grayed and the noise is eliminated. Then a reliable model of Surendra background updating is developed.The motion information is detected by adopting background subtraction method.The images are segmented.In an attempt to minimize the negative influences of noise and background disturbance,morphologic filtering and connected region area measurement are introduced.The experimental results show that the algorithm based on Surendra is practically valuable.