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In this paper, we present an efficient and adaptive method for detecting and tracking multiple persons while providing real-time capability and high robustness to outlier noise. Given an RGB-D image data sequence, our algorithm combines two independent approaches for person detection. First, a cluster-based segmentation and classification on RGB-D point clouds and second a face detection on RGB images,...
Human body detection and pose estimation is useful for a wide variety of applications and environments. Therefore a human body detection and pose estimation system must be adaptable and customizable. This paper presents such a system that extracts skeletons from RGB-D sensor data. The system adapts on-line to difficult unstructured scenes taken from a moving camera (since it does not require background...
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