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http://dx.doi.org/10.9717/kmms.2013.16.2.169

Robust Illumination Change Detection Using Image Intensity and Texture  

Yeon, Seungho (홍익대학교 전기정보제어공학과)
Kim, Jaemin (홍익대학교 전자전기공학부)
Publication Information
Journal of Korea Multimedia Society / v.16, no.2, 2013 , pp. 169-179 More about this Journal
Abstract
Change detection algorithms take two image frames and return the locations of newly introduced objects which cause differences between the images. This paper presents a new change detection method, which classifies intensity changes due to introduced objects, reflected light and shadow from the objects to their neighborhood, and the noise, and exactly localizes the introduced objects. For classification and localization, first we analyze the histogram of the intensity difference between two images, and estimate multiple threshold values. Second we estimate candidate object boundaries using the gradient difference between two images. Using those threshold values and candidate object boundaries, we segment the frame difference image into multiple regions. Finally we classify whether each region belongs to the introduced objects or not using textures in the region. Experiments show that the proposed method exactly localizes the objects in various scenes with different lighting.
Keywords
Change Detection; Image Intensity; Image Texture;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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