One-Shot-Learning Gesture Recognition using HOG-HOF Features

15 Dec 2013Jakub KonečnýMichal Hagara

The purpose of this paper is to describe one-shot-learning gesture recognition systems developed on the \textit{ChaLearn Gesture Dataset}. We use RGB and depth images and combine appearance (Histograms of Oriented Gradients) and motion descriptors (Histogram of Optical Flow) for parallel temporal segmentation and recognition... (read more)

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