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  • 基于最小費用流建模的目標跟蹤器研究與仿真

    Target tracker based on minimum cost flow modeling

    • 摘要: 針對目標跟蹤中的物體遮擋、光照影響、雜波擾動等問題,設計一種基于最小費用流建模的跟蹤器.該跟蹤器把整數規劃與最小費用流模型相結合,將目標跟蹤問題轉變為可解的線性規劃問題.與其他同類型跟蹤器相比,該跟蹤器具有更好的跟蹤準確性.實驗結果表明:運用最小費用流模型的跟蹤器可以對復雜環境下的多個目標進行穩定跟蹤,提升了跟蹤的魯棒性.

       

      Abstract: A tracker using the method of minimum cost flow was designed to solve the problems of object occlusion, lighting effects and clutter disturbance. This tracker combines integer programming with the minimum cost flow model, and converts the prob-lem of object tracking into a linear programming problem. Compared with other similar trackers, this tracker has a better tracking accu-racy. Simulation results show that the tracker in this paper has strong robustness and better tracking stability in complex environments.

       

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