Occlusion handling in moving object tracking system
Yanfang Li · Jisuanji gongcheng yu sheji · 2009
Occlusion is a significant problem for the research of moving object tracking.A MCMC-based method to solve the problem of occlusion is introduced.At first building Bayesian model,determine the prior probability and likelihood term.Formulate the vehicle segmentation problem as searching for the vehicle state,which maximizes the posterior probability.Then MCMC is applied to posterior probability estimation.A standard MCMC is designed to sample the posterior probability,and rectangle model is used to approximation the vehicle.Tests prove the MCMC-based method can segment multiple merged vehicles into individual effective.The method can automatically detect the vehicle inter-occlusion,without requiring a special region to initialize each vehicle.