期刊论文详细信息
APSIPA Transactions on Signal and Information Processing
Robust power line detection with particle-filter-based tracking in radar video
Ming-Ting Sun2  Darren S. Goshi1  Qirong Ma3  Long Bui1 
[1] Honeywell Corporation;University of Washington;Microsoft Corporation
关键词: Millimeter wave radar;    Object detection;    Particle filter;    Radar imaging;    Power line detection;   
DOI  :  10.1017/ATSIP.2015.14
学科分类:计算机科学(综合)
来源: Cambridge University Press
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【 摘 要 】

In this paper, we propose a tracking algorithm to detect power lines from millimeter-wave radar video. We propose a general framework of cascaded particle filters which can naturally capture the temporal correlation of the power line objects, and the power-line-specific feature is embedded into the conditional likelihood measurement process of the particle filter. Because of the fusion of multiple information sources, power line detection is more effective than the previous approach. Both the accuracy and the recall of power line detection are improved from around 68% to over 92%.

【 授权许可】

Unknown   

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