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作者:

Nie, Jisheng (Nie, Jisheng.) | Guo, Xu (Guo, Xu.)

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EI Scopus

摘要:

In order to solve the problem of tracking frame drift and tracking failure in traditional Camshift algorithm under color interference or occlusion, an improved multi feature fusion method for Camshift target tracking is proposed. Firstly, the color feature and the HOG feature of the target are extracted respectively and fused according to a certain weight coefficient to establish the target model; secondly, the target occlusion is judged according to the similarity measurement. When the target is occluded, the target is divided into four parts, and the color feature and the HOG feature of the target are extracted respectively, and weighted fusion is carried out to establish the occluded target model; finally, a linear prediction method is proposed to replace the traditional Kalman filtering algorithm to complete the position prediction, and substitute the predicted position results into the Camshift algorithm for tracking. Experimental results show that the algorithm can improve the robustness and meet the real-time requirements. © 2020 IEEE.

关键词:

Color Target tracking Clutter (information theory)

作者机构:

  • [ 1 ] [Nie, Jisheng]Beijing University of Technology, Information Department, China
  • [ 2 ] [Guo, Xu]Beijing University of Technology, Information Department, China

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年份: 2020

页码: 254-258

语种: 英文

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 5

ESI高被引论文在榜: 0 展开所有

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