Human Target Localization Using Hough Transform and Doppler Processing
Human Target Localization Using Hough Transform and Doppler Processing
复制标题
使用霍夫变换和多普勒处理进行人体目标定位
DOI:
10.1109/lgrs.2016.2591585
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发表时间:
2016-08
期刊:
影响因子:
--
通讯作者:
Xiyao Liu
中科院分区:
文献类型:
--
作者:
Yipeng Ding;Xiaoyi Lin;Kehui Sun;Xuemei Xu;Xiyao Liu
In this letter, a localization algorithm, which combines Hough transform and Doppler processing, is proposed for Doppler radar human sensing applications. The Hough transform is first applied to extract the interested target components and real-time estimate their instantaneous frequencies (IFs). Then, based on the IF estimation result, the target movement trajectories are synthesized by Doppler processing. To improve the detection accuracy and robustness, a generalized linear model is proposed for Hough transform, which can achieve highly dimensional frequency fitting to compensate the nonlinear error, meanwhile maintaining a low level of computational complexity for real-time processing. Experimental results are presented to illustrate the performance of the proposed algorithm.
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