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Particle Filter Based Moving Object Tracking in Dynamic Scene

CHI HaihongLIU LeiSONG Hanlin

Harbin Engineering University

摘要:A adaptive algorithm of tracking moving object using particle filter in dynamic scene is proposed in this paper, which based on the work of reference [17] on object detection. At first, we apply six-parameter affine transformation to building motion parameter model and adopt the detection methods for moving object in [17]. Then, Color and edge features are used to describe object model. An adaptive weighted distribution algorithm is used in fusion of object features. According to the weights distribution, we apply particle filter algorithm combined with two object features to tracking the moving object. Experimental results show that the method presented in this paper improves the accuracy of tracking for moving target in dynamic background.
会议名称:

第三十四届中国控制会议

会议时间:

2015-07-28

会议地点:

中国浙江杭州

  • 专辑:

    信息科技

  • 专题:

    计算机软件及计算机应用

  • 分类号:

    TP391.41

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