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- W2392293005 abstract "To improve the robustness of object tracking algorithm in complex environment,a tracking algorithm based on algorithm fusion was proposed.Firstly,the color and SURF(Speeded Up Robust Features) features were used to presented the interested target.Mean shift algorithm based on color feature was used to find the suboptimal position rapidly.Because the color histogram contains less information,tracking error is accumulated.Then,the SURF feature matching algorithm is used to estimate the center point and size of the target.The cumulative errors are amended in time.Finally,the best result is choosed according to the Bhattacharyya coefficient.Experimental results show that the proposed algorithm has a good robustness in object deformation,size changing and similar apparent existing around the target and it's real-time." @default.
- W2392293005 created "2016-06-24" @default.
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- W2392293005 date "2012-01-01" @default.
- W2392293005 modified "2023-09-26" @default.
- W2392293005 title "Object Tracking Algorithm Based on Algorithm Fusion" @default.
- W2392293005 hasPublicationYear "2012" @default.
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