An Improved Moving Object Tracking Method Based on Mean-shift Algorithm
YANG Fan
Abstract：Aiming at the deficiency of the initial retrieval window in the candidate target model of mean-shift algorithm , a new detection window is produced as the retrieval window of mean-shift algorithm by weighting the window of kalman filter and extracted window of three image difference methods .At the same time ,the bandwidth of kernel function and the arget model are updated .Experiments show that the optimization algorithm has been significantly improved after the detection of moving object ,the robustness of the algorithm has been enhanced .
Keywords：moving object trackingmean shiftframe difference method
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( 1465-1467,1575 )