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There is indeed a relationship among various action categories, with which many correlated action categories can be clustered into a same group, named super-category. Knowledge sharing within super-category is an effective strategy to achieve good generalization performance. In this paper, we propose a novel human action recognition method based on multi-task learning framework with super-category...
Recent emergence of low-cost and easy-operating depth cameras has reinvigorated the research in skeleton-based human action recognition. However, most existing approaches overlook the intrinsic interdependencies between skeleton joints and action classes, thus suffering from unsatisfactory recognition performance. In this paper, a novel latent max-margin multitask learning model is proposed for 3-D...
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