Video target tracking algorithm with combining robust estimation and Meanshift
ZHU Wen-ya
Abstract：Aiming at the problem that the Meanshift algorithm is sensitive to the strong noise environment, a modified Meanshift algorithm with combining the robust estimation and traditional Meanshift was proposed.The kernel probability density function of traditional Meanshift algorithm was modified through the robust estimation, and the robustness of Meanshift algorithm got improved.Aiming at the simulation data with signal to noise rate (SNR) of 60, 30 and 0db, the accuracy and precision of the tracking trajectory of both traditional and modified Meanshift algorithms were compared.The results indicate that the modified Meanshift algorithm can achieve the accurate tracking of targets, and the relative error of tracking position is below 1%.For the real video data of moving targets, the proposed algorithm can also realize the real time tracking and positioning, and can overcome the target tracking missing problem of traditional Meanshift algorithm.
Keywords：robust estimationMeanshifttarget trackingnoisekernel probability density functionmedianerrorvideo
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 177-182 )