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2004
IEEE

Automated Gesture Segmentation From Dance Sequences

9 years 1 months ago
Automated Gesture Segmentation From Dance Sequences
Complex human motion (e.g. dance) sequences are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is subjective, and varies considerably from one choreographer to another. Dance sequences also exhibit a large vocabulary of gestures. In this paper, we propose an algorithm called Hierarchical Activity Segmentation. This algorithm employs a dynamic hierarchical layered structure to represent human anatomy, and uses lowlevel motion parameters to characterize motion in the various layers of this hierarchy, which correspond to different segments of the human body. This characterization is used with a na
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where FGR
Authors Kanav Kahol, Priyamvada Tripathi, Sethuraman Panchanathan
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