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Sequential Monte Carlo-guided ensemble tracking.

  • 【作者】Wang, Yuru,Liu, Qiaoyuan,Jiang, Longkui,Yin, Minghao,Wang, Shengsheng
  • 【作者单位】1 Computer Science and Information Technology, North-East Normal University, Changchun, Jilin Province, China 2 School of Information Engineering, Jilin Business and Technology College, Changchun, Jilin Province, China 3 Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun, Jilin Province, China
  • 【年份】2017
  • 【卷号】Vol.12 No.4
  • 【页码】1-15
  • 【ISSN】1932-6203
  • 【关键词】MONTE Carlo method *VISUAL perception *BAYESIAN analysis *SUPPORT vector machines *ARTIFICIAL intelligence 
  • 【摘要】 A great deal of robustness is allowed when visual tracking is considered as a classification problem. This paper combines a finite number of weak classifiers in a SMC framework as a strong classifier. The time-varying ensemble parameters (confidence ...
  • 【文献类型】 期刊
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