n 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. © Springer-Verlag 2004.
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 1 Dec 2004|