Using C-NLPCA to extracting movements from video sequences
نویسندگان
چکیده
This article presents a methodology to extract principal components of large set of data, considering the existence of possible nonlinear relations among them, called C-NLPCA (Cascaded nonlinear principal component analysis), and evaluates its use in the extraction of main human movements in image series, aiming for the development of methodologies and techniques for skill transfer from humans to robotic/virtual agents. The experimental analysis uses a video images sequence to obtain principal movements of a human hand. The results are confronted with the linear traditional techniques.
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