,

Abdel Hamid Mbouombouo Mboungam1, Yongfeng Zhi1, Cedric Karel Fonzeu Monguen2

  • 1School of Automation, Northwestern Polytechnical University, Xi'an 710002, China.

PubMed
概括

这项研究通过引入尺度金字塔和改进漂移抑制以提高复杂环境中的精度和弹性来增强使用核心化相关性过器 (KCF) 的实时对象跟踪.

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