Tracking Method of Occluded Moving Objects Based on Cluttered Scene

WANG Yi; FANG Yingwu; LIU Zhenxia

doi:10.3969/j.issn.1672-9730.2015.11.010

Abstract：The aim of this article is to present a tracking approach for occluded objects in natural environment based on Dezert‐Smarandache theory(DSmT) .In the framework of DSmT and particle filters(PF) ,location and color cues of moving objects are combined by using new combination rules .As a result ,targets tracking platform which embeds location and color cues into the PF and DSmT is developed ,and the corresponding tracking algorithm in natural environment is realized based on DSmT .Two sets of experiments including many difficult tracking scenes with comparisons were carried out to validate the approach ,and results shown that the combination evidence strategy and objects tracking model based on DSmT are fast and efficient .Especially ,40 particles are used to handle the high conflict information between evidences for the tracking targets of crosses and occlusions .Further ,by analyzing the RMS errors of estimated position for every target ,the introduced ap‐proach exhibits an excellent tracking ability and accuracy for dealing with high conflict information between evidences in natu‐ral environment .The achievement of this work will provide new methods and new ideas for the application of vision tracking technique .