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- W3118676853 abstract "Moving object segmentation has its own niche as an important topic in computer vision. It has avidly being pursued by researchers. Background subtraction method is generally used for segmenting moving objects. This method may also classify shadows as part of detected moving objects. Therefore, shadow detection and removal is an important step employed after moving object segmentation. However, these methods are adversely affected by changing environmental conditions. They are vulnerable to sudden illumination changes, and shadowing effects. Therefore, in this work we propose a faster, efficient and adaptive background subtraction method, which periodically updates the background frame and gives better results, and a shadow elimination method which removes shadows from the segmented objects with good discriminative power. Keywords- Moving object segmentation," @default.
- W3118676853 created "2021-01-18" @default.
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- W3118676853 date "2013-04-01" @default.
- W3118676853 modified "2023-10-16" @default.
- W3118676853 title "AN ADAPTIVE BACKGROUND UPDATION AND GRADIENT BASED SHADOW REMOVAL METHOD" @default.
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- W3118676853 doi "https://doi.org/10.47893/ijipvs.2013.1057" @default.
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