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This paper proposes a human activity recognition method which is based onfeatures learned from 3D video data without incorporating domain knowledge. Theexperiments on data collected by RGBD cameras produce results outperformingother techniques. Our feature encoding method follows the bag-of-visual-wordmodel, then we use a SVM classifier to recognise the activities. We do not useskeleton or tracking information and the same technique is applied on color anddepth data.

Feature Learning for Interaction Activity Recognition in RGBD Videos