NONE 20260121125118494 wseas/wseas content-registration-form+ja@crossref.org content-registration-form WSEAS TRANSACTIONS ON SYSTEMS 1109-2777 2224-2678 Jyong-An Jhu Software Engineering Department, Nvidia Corporation, Taipei, TAIWAN (R.O.C.) Ching-Ting Hsu Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei, TAIWAN (R.O.C.) Jen-Shi Chen Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei, TAIWAN (R.O.C.) An efficient algorithm for tracking weightlifting barbells in video sequences is presented in this paper. The objective is to rapidly and accurately extract the barbell’s trajectory from weightlifting competition footage to support training and performance analysis. To accomplish this, a motion vector distribution-based asymmetric full-search algorithm is employed to identify regions with the highest similarity, facilitating precise object localization. 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