Moving Object Detection Based on HSI Color Space
Sang Gao-li · Journal of Guangxi University for Nationalities · 2012
In the course of moving-object detection,the background models are crucially important for the object extraction,the Gaussian mixture model(GMM) is one of popular and robust methods in the background models.But under the influence of light factors it leads to larger error.For the different luminance of the background and the moving-object,Extract the luminance in HSI color space,differentiate them using automatic threshold,reduce the error detection caused by light source change.The results show that the method can improve the detection accuracy under the influence of lighting change and reduce the miscarriage of justice for the foreground and background.