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http://dx.doi.org/10.5391/JKIIS.2008.18.5.617

Motion Recognitions Based on Local Basis Images Using Independent Component Analysis  

Cho, Yong-Hyun (School of Computer and Information Comm. Eng., Catholic Univ. of Daegu)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.5, 2008 , pp. 617-623 More about this Journal
Abstract
This paper presents a human motion recognition method using both centroid shift and local basis images. The centroid shift based on 1st moment balance technique is applied to get the robust motion images against position or size changes, the extraction of local basis images based on independent component analysis(ICA) is also applied to find a set of statistically independent motion features, which is included in each motions. Especially, ICA of fixed-point(FP) algorithm based on Newton method is used for being quick to extract a local basis images of motions. The proposed method has been applied to the problem for recognizing the 160(1 person * 10 animals * 16 motions) sign language motion images of 240*215 pixels. The 3 distances such as city-block, Euclidean, negative angle are used as measures when match the probe images to the nearest gallery images. The experimental results show that the proposed method has a superior recognition performances(speed, rate) than the method using local eigen images and the method using local basis images without centroid shift respectively.
Keywords
Independent component analysis; Fixed-point algorithm; Centroid shift; Motion recognition; Local basis image;
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Times Cited By KSCI : 1  (Citation Analysis)
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