SOAMST Tracking Algorithm Based on Fuzzy Logic of Multiple Feature Fusion
LIU Shujiao
FENG Ziliang
XUE Bintian
Abstract：In view of the complex environment conditions which are color ,illumination changes and occlusion influence target tracking algorithm accuracy and robustness ,SOAMST tracking algorithm based on fuzzy logic multiple feature fusion is proposed in this paper .In the first place ,a color feature and LBP feature choosen to establish target modeling ,and accord‐ing to the fuzzy logic algorithm the weights of these two characteristics in calculating barycentric position of the target and weight image are adjusted .Then ,when the target is occluded and disappeared ,the preceding frame of the target state infor‐mation is obtained ,and target positioninvoking particle filter algorithm is forecasted ,in this way it can avoid losing track the target ,thus realizing continuous target tracking .Experiments show that the algorithm in this paper can well realize target tracking on the complex environment conditions .
Keywords：target trackingSOAMST algorithmfuzzy logicparticle filter
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 635-637,666 )