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Hand Gesture Recognition is completed on top-view hand images observed by a Time of Flight(ToF) camera in a car. The work attempts to solve two important problems of touchless interactions inside a car. First, low latency identification of the gestures which are unobtrusive for the driver. Second, reducing the labelled data required to train learning based solutions, this is particularly important...
Learning based approaches have not yet achieved their full potential in optical flow estimation, where their performance still trails heuristic approaches. In this paper, we present a CNN based patch matching approach for optical flow estimation. An important contribution of our approach is a novel thresholded loss for Siamese networks. We demonstrate that our loss performs clearly better than existing...
In this paper, the idea of a modular activity monitoring system is introduced. By using different combinations of the system's three modules, different functionality becomes available: 1) a coarse intensity estimation of physical activities 2) different features based on HR-data and 3) the recognition of basic activities and postures. 3D-accelerometers — placed on lower arm, chest and foot — and a...
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