A Study on Robust Method of Human Detection

Abstract

In this paper, we proposed a human detection method under local brightness change. In recently year's buildings taking in outdoor light aimed for an illumination cost cut. Therefore an outdoor local brightness change occurs in the indoor and becomes the obstruction of the human detection. We improve a robust background subtraction method Radial Reach Correlation (RRC) for local brightness change. RRC maintains robustness for local brightness change by using texture from correlation between pixels pairs. This method copes with a local brightness change by creating the texture of the fixed domain. The experimental result show the possibility of detection by the daytime local brightness change and the night general brightness change.