Mixture particle filter with block jump biomechanics constraint for volleyball players lower body parts tracking

Abstract

Volleyball player body parts tracking is very important for block or jump height calculation which can be applied to TV contents and tactical analysis. This paper proposes a mixture particle filter with block jump biomechanics constraint based on 3D articulated human model. Using mixture particle filters tracking different body parts can effectively reduce the freedom degree of the human model and make each particle filter track the specific target more accurately. Block jump biomechanics constraint executes adaptive prediction model and likelihood model which can make the particle filter specific for block tracking. The experiments are based on videos of the Final Game of 2014 Japan Inter High School Games of Men's Volleyball in Tokyo. The tracking success rate reached 93.9% for left foot and 93.8% for right foot.