Human Star Skeleton Feature Vector Quantization Using PSO
Yimin Li · Microprocessors · 2011
The paper introduces how to extract the human star skeleton and by using the particle swarm to optimize the skeleton characteristic vector quantization.Star skeleton,generated by connecting human center-of-mass point to the human limbs and head endpoint,is a kind of fast skeleton extraction techniques.Connecting center-of-mass point with endpoint,human skeleton could be represented by five dimensional vector Si,Si∈Rn,Rn is the star skeleton feature space.Star skeleton sequence can take the place of the timing sequences of human actions.Finally,we generated the codebook G by using particle swarm optimization quantification process.