作者
Teck Wee Chua, Yue Wang, Karianto Leman
发表日期
2012/9/30
研讨会论文
2012 19th IEEE International Conference on Image Processing
页码范围
49-52
出版商
IEEE
简介
Texture and color are two primitive forms of features that can be used to describe a scene. While conventional local binary pattern (LBP) texture based background subtraction performs well on texture rich regions, it fails to detect uniform foreground objects in large uniform background. As such, color information can be used to complement texture feature. In this study, we propose to incorporate local color feature based on Improved Hue, Luminance, and Saturation (IHLS) color space and introduce an adaptive scheme that automatically adjusts the weight between texture and color similarities based on the pixel's local properties: texture uniformity and color saturation. Experiments on eight challenging sequences demonstrate the effectiveness of the proposed method compared to the state-of-the-art algorithms.
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TW Chua, Y Wang, K Leman - 2012 19th IEEE International Conference on Image …, 2012