Estimating the pedestrian 3D motion indoor via hybrid tracking model

Focusing on the problem of self-occlusion in the field of human motion tracking, the paper deals with an algorithm for detecting the pedestrian limbs self-occlusion probability model. First, the algorithm defines the self-occlusion state probability model based on a Markov model. Second, the paper proposes a hierarchical skin model using ellipse skin model. Last, the algorithm changes the detection of pedestrian limbs self-occlusion to the calculation of the self-occlusion state transition probability. The result of experiment shows that the algorithm has a higher accuracy.