On Colour Spaces for Change Detection and Shadow Suppression
نویسندگان
چکیده
In this paper, common colour models for background subtraction and problems related to their utilisation are discussed. A novel approach to represent chrominance information more suitable for robust background modelling and shadow suppression is proposed. Our method relies on the ability to represent colours in terms of a 3D-polar coordinate system having saturation independent of the brightness function; specifically, we build upon an Improved Hue, Luminance, and Saturation space (IHLS). The additional peculiarity of the approach is that we deal with the problem of unstable hue values at low saturation by modelling the hue-saturation relationship using saturation-weighted hue statistics. The effectiveness of the proposed method is shown in an experimental comparison with an approach based on normalised RGB.
منابع مشابه
Motion and Shadow Detection with an Improved Colour Model
In this paper, common colour models for background subtraction and problems related to their utilisation are discussed. A novel approach to represent chrominance information more suitable for robust background modelling and shadow suppression is proposed. Our method relies on the ability to represent colours in terms of a 3D-polar coordinate system having saturation independent of the brightnes...
متن کاملShadow detection in colour high-resolution satellite images
Image shadow segmentation has become a major issue in satellite remote sensing because of the recent commercial availability of high-resolution images. Detecting shadows is important for successfully carrying out applications such as change detection, land monitoring, object recognition, scene reconstruction, colour correction, etc. This paper presents a simple and effective procedure to segmen...
متن کاملMotion Detection Using an Improved Colour Model
We discuss common colour models for background subtraction and problems related to their utilisation. A novel approach to represent chrominance information more suitable for robust background modelling and shadow suppression is proposed. Our method relies on the ability to represent colours in terms of a 3D-polar coordinate system having saturation independent of the brightness function; specif...
متن کاملShadow Detection based on Colour Segmentation and Estimated Illumination
In this paper we show how to improve the detection of shadows in natural scenes using a novel combination of colour and illumination features. Detecting shadows is useful because they provide information about both light sources and the shapes of objects thereby illuminated. Recent shadow detection methods use supervised machine learning techniques with input from colour and texture features ex...
متن کاملRobust Foreground Detection: A Fusion of Masked Grey World, Probabilistic Gradient Information and Extended Conditional Random Field Approach
Foreground detection has been used extensively in many applications such as people counting, traffic monitoring and face recognition. However, most of the existing detectors can only work under limited conditions. This happens because of the inability of the detector to distinguish foreground and background pixels, especially in complex situations. Our aim is to improve the robustness of foregr...
متن کامل