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We present a method for foreground-background video segmentation in real-time that may be used in applications as, for instance, Background Substitution, Analysis of Surveillance Cameras, Highway Cars Detection and so on. Our approach implements a probabilistic segmentation based on the binary Quadratic Markov Measure Fields models (QMMFs). That framework regularizes the likelihood of each pixel to...
Background subtraction is an important step used to segment moving regions in surveillance videos. However, cast shadows are often falsely labeled as foreground objects, which may severely degrade the accuracy of object localization and detection. Effective shadow detection is necessary for accurate foreground segmentation, especially for outdoor scenes. Based on the characteristics of shadows, such...
This paper presents a new approach of foreground and shadow segmentation in visual surveillance environment. Coordinate systems are firstly defined based on normalized RGB values, and then an ellipsoid is constructed according to scattering feature of shadow pixels. Consequently, moving shadow detection is treated as a clustering problem in above coordinate systems, and all the pixels inside the ellipsoid...
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