Foreground segmentation using luminance contrast
Luis M. Fuentes, Sergio A. Velastín · Research Repository (Kingston University London) · 2001
Abstract:- The authors suggest the convenience of using luminance contrast for a normalised threshold in the foreground segmentation process for video-based surveillance applications. An individual pixel is part of the foreground when its contrast is greater than a given threshold. This method presents two major advantages: it simplifies the background model and increases the processing speed. The background model requires a single image, which may be updated in outdoors applications. No statistical information about the variation of each pixel value is needed. The algorithm runs faster in colour images because it operates with just one coordinate, luminance in YUV colour space, keeping colour information available for further use. The method has been tested in images from four different scenarios, indoors and outdoors and the results in two particular contexts, negative and colour contrast are discussed. Key-Words:- Segmentation, contrast, luminance contrast, foreground detection