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Distribution of action movements (DAM): a descriptor for human action recognition 被引量:1
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作者 Franco RONCHETTI Facundo QUIROGA Laura LANZARINI Cesar ESTREBOU 《Frontiers of Computer Science》 SCIE EI CSCD 2015年第6期956-965,共10页
Human action recognition from skeletal data is an important and active area of research in which the state of the art has not yet achieved near-perfect accuracy on many well- known datasets. In this paper, we introduc... Human action recognition from skeletal data is an important and active area of research in which the state of the art has not yet achieved near-perfect accuracy on many well- known datasets. In this paper, we introduce the Distribution of Action Movements Descriptor, a novel action descriptor based on the distribution of the directions of the motions of the joints between frames, over the set of all possible mo- tions in the dataset. The descriptor is computed as a normal- ized histogram over a set of representative directions of the joints, which are in turn obtained via clustering. While the descriptor is global in the sense that it represents the overall distribution of movement directions of an action, it is able to partially retain its temporal structure by applying a window- ing scheme. The descriptor, together with performs several state-of-the-art known datasets. a standard classifier, out- techniques on many well- 展开更多
关键词 human action recognition DESCRIPTOR Prob-SOM msrc12 Action3D
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