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Motion trajectories contain rich high-level semantic information such as object behaviors and gestures, which can be effectively captured by supervised trajectory learning. However, it is usually a tough task to obtain a large number of high-quality manually labeled samples in real applications. Thus, how to perform trajectory learning in small training sample size situations is an important research...
The traditional researches targeted at only one language, and there is no research to refer the language and recognition method. Moreover, a lot of model-based methods use only an external lip or intraoral region, and tooth or tongue region is not reflected to the feature. This paper describes analysis of efficient lip reading method for various languages. First, we applies active appearance model,...
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