An evolutionary algorithm for physical motion analysis
نویسنده
چکیده
This paper presents an approach to motion understanding, through identification of physical parameters from image sequences. It is based on a family of particle-based physical models where deformable objects are represented as sets of weighted particles and their interactions. The interaction model presented derives from an energy potential, using dual bonds (extension springs) and ternary bonds (torsional springs). An original dynamical motion analysis algorithm is described, which extracts physical animation parameters (springs lengths, angles, stiffness...) through the processing of an image sequence. Genetic techniques are employed to perform the fitting of parameters in an analysis-by-synthesis scheme. Experimental test results on synthetic sequences are reported.
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