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改进 mean shift 算法在目标跟踪中的研究

周春云 丁伟 房伟 谢林柏

单片机与嵌入式系统应用Issue(7):10-13,4.
单片机与嵌入式系统应用Issue(7):10-13,4.

改进 mean shift 算法在目标跟踪中的研究

Research on Target Tracking Based on Improved mean-shift AIgorithm

周春云 1丁伟 2房伟 3谢林柏3

作者信息

  • 1. 国家高性能计算中心扬州分中心,万方电子技术有限责任公司,扬州 225006
  • 2. 扬州大学
  • 3. 江南大学
  • 折叠

摘要

Abstract

The improved mean-shift algorithm based on texture and color model is proposed,which can overcome the disadvantage of sin-gle target feature in the traditional target tracking.In the framework of traditional mean-shift algorithm,the system establishes the matc-hing feature from multiple perspectives,by fusing color model and texture model obtained from Contourlet transform.The proposed algo-rithm has been realized on an embedded platform.The experimental results show that the tracking effect is improved.

关键词

目标跟踪/mean shift 算法/Contourlet 变换/嵌入式系统

Key words

target tracking/mean-shift algorithm/Contourlet transform/embedded system

分类

计算机与自动化

引用本文复制引用

周春云,丁伟,房伟,谢林柏..改进 mean shift 算法在目标跟踪中的研究[J].单片机与嵌入式系统应用,2015,(7):10-13,4.

单片机与嵌入式系统应用

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