Multi-view articulated human body tracking with textured deformable mesh model

This paper proposes a multi-view articulated human motion tracking approach with textured deformable mesh model. Firstly, a subject-specific mesh model is initialized by using linear blend skinning method. The model is then textured according to the multi-view image observations. We introduce a segmentation-based method to refine the appearance of the subject. With the textured mesh model, a color-based likelihood (CbL) is also proposed for human body tracking with Annealed Particle Filter (APF). Experiments in the paper show that the performance can be considerately improved by using CbL as the measurement for pose tracking.