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Pedestrians are the most interesting as well as vulnerable entity from both safety and security perspective in the field of video surveillance. In this article, we present a framework to detect pedestrians across a stationary camera view. Our propositions thrust upon developing a motion segmentation module and a feature extraction module for human localization. In the first stage, a background subtraction...
Background subtraction is a popular technique for detecting objects moving across a fixed camera view. The performance of this paradigm is influenced by various challenges, such as object relocation, illumination change, cast shadows, waving background, camera shake, bootstrapping, camouflage, and so on. In this paper, we present a synopsis on the evolution of the background subtraction techniques...
In surveillance system video sequences are obtained through static cameras and fixed background. A popular approach called background subtraction is generally used in this scenario. Existing approaches in this field try to detect the object first and then remove the shadow in the subsequent phase. Here we have tried to combine both object detection and shadow removal module to a single module. In...
The goal in this paper is to detect and remove shadows of moving objects in colour image sequences. The method works by deriving the shadow edges of a 3-band colour image, integrating edge information temporally in the image sequence, and subsequently removing these shadows by a method paralleling reflectance recovery by entropy minimisation. The method incorporates background subtraction information...
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