Environmental perception and adaptive research in moving object detection
Wang Chen · Journal of Computer Applications · 2011
In complicated environment,any changes will influence the accuracy of the object detection.Therefore,an algorithm was put forward,which combined the Generalized Gaussian Mixture Model(GGMM) and background subtraction to detect moving objects.The model has a flexibility to perceive environment and model the video background adaptively in the presence of environmental changes(such as radial gradient,background disturbance,shadows and noise).And when it has sudden illumination change,the model can resolve it quickly.In order to meet the real-time requirement,this algorithm adopted the principle,to update every other two frames.The experiments show that it can meet the real-time requirement and detect the moving object accurately.