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Quantification and Classification of Locomotion Patterns By Spatio-Temporal Morphable Models (2000)
| Citations: | 3 - 1 self |
BibTeX
@MISC{Giese00quantificationand,
author = {M. A. Giese and T. Poggio},
title = {Quantification and Classification of Locomotion Patterns By Spatio-Temporal Morphable Models},
year = {2000}
}
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Abstract
Morphable models have been applied successfully in the context of computer vision and computer graphics for the representation of classes of stationary images. In this paper, we develop a similar technique for the representation of classes of complex movements that we call space-time morphable models. This technique permits to approximate new complex movement patterns by linear combinations of few learned prototypical example patterns. The weights of the linear combination provide a low-dimensional description of the patterns that can be exploited for the classification of the underlying actions, and also for the estimation of continuous parameters that quantify characteristic properties of the movement. (Examples are the direction of locomotion and the style with which a certain movement is executed. ) We demonstrate the applicability of the technique for the classification and quantification of properties of locomotion patterns. Several possible applications of spacetime morphable mo...
Keyphrases
locomotion pattern spatio-temporal morphable model linear combination underlying action several possible application certain movement low-dimensional description similar technique space-time morphable model learned prototypical example pattern continuous parameter computer vision complex movement spacetime morphable mo morphable model stationary image computer graphic characteristic property new complex movement pattern
