Abstract
In this paper, we address the analysis of human actions by comparing different performances of the same action, i.e. walking. To achieve this goal, we define a proper human body model which maximizes the differences between human postures and, moreover, reflects the anatomical structure of the human beings. Subsequently, a human action space, called aSpace, is built in order to represent a performance, i.e., a predefined sequence of postures, as a parametric manifold. The final human action representation is called p–action, which is based on the most characteristic human body postures found during several walking performances. These postures are found automatically by means of a predefined distance function, and they are called key-frames. By using key-frames, we synchronize any performance with respect to the action model. Furthermore, by considering an arc length parameterization, independence from the speed at which performances are played is attained. Consequently, the style of human walking can be successfully analysed by establishing differences between a male and a female walkers.
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Gonzàlez, J., Varona, J., Roca, F.X., Villanueva, J.J. (2004). Analysis of Human Walking Based on aSpaces . In: Perales, F.J., Draper, B.A. (eds) Articulated Motion and Deformable Objects. AMDO 2004. Lecture Notes in Computer Science, vol 3179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30074-8_18
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DOI: https://doi.org/10.1007/978-3-540-30074-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22958-2
Online ISBN: 978-3-540-30074-8
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