APSIPA Transactions on Signal and Information Processing > Vol 4 > Issue 1

Robust power line detection with particle-filter-based tracking in radar video

Qirong Ma, Microsoft Corporation, USA, pmdiano@gmail.com , Darren S. Goshi, Honeywell Corporation, USA, Long Bui, Honeywell Corporation, USA, Ming-Ting Sun, University of Washington, USA
 
Suggested Citation
Qirong Ma, Darren S. Goshi, Long Bui and Ming-Ting Sun (2015), "Robust power line detection with particle-filter-based tracking in radar video", APSIPA Transactions on Signal and Information Processing: Vol. 4: No. 1, e11. http://dx.doi.org/10.1017/ATSIP.2015.14

Publication Date: 22 Sep 2015
© 2015 Qirong Ma, Darren S. Goshi, Long Bui and Ming-Ting Sun
 
Subjects
 
Keywords
Millimeter wave radarObject detectionParticle filterRadar imagingPower line detection
 

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This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. BACKGROUND 
III. POWER LINE TRACKING WITH PARTICLE FILTERING 
IV. EXPERIMENTS 
V. CONCLUSION 

Abstract

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%.

DOI:10.1017/ATSIP.2015.14