Real-Time Object Detection for Millimeter-Wave Images Based on Improved Faster Regions with Convolutional Neural Networks

Bingji Hou; Minghui Yang; Xiaowei Sun

doi:10.3788/LOP56.131009

Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131009(2019)

Real-Time Object Detection for Millimeter-Wave Images Based on Improved Faster Regions with Convolutional Neural Networks

Bingji Hou^1,2,3, Minghui Yang¹, and Xiaowei Sun^1、*

Author Affiliations

¹ Key Laboratory of Terahertz Solid Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai 200050, China

² University of Chinese Academy of Sciences, Beijing 100049, China

³ School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China

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Bingji Hou, Minghui Yang, Xiaowei Sun. Real-Time Object Detection for Millimeter-Wave Images Based on Improved Faster Regions with Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131009

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Paper Information

Category: Image Processing

Received: Dec. 17, 2018

Accepted: Feb. 17, 2019

Published Online: Jul. 11, 2019

The Author Email: Sun Xiaowei (xwsun@mail.sim.ac.cn)

DOI:10.3788/LOP56.131009

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology