TY - GEN
T1 - Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images
AU - Wu, Nan
AU - Haruyama, Shinichiro
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by Keio University Doctorate Student Grant-in-Aid Program, Graduate School Recommendation by Graduate School of System Design and Management, “High accuracy and fast inspection system based on AR and laser scan”,April, 2018–March, 2019.
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/5
Y1 - 2019/5
N2 - Sound detection with optical means is an appealing research topic. Laser speckle is one effective method to detect the sound due to its sensitivity to tiny motion. The traditional laser-speckle sound recovery methods require a high-speed camera to record fast-moving speckle images and then recover the original sound signals from the motion information of the captured speckle images. In this manuscript, a laser microphone system is proposed to detect and regenerate the sound signal in real time. In the proposed system, only a small part of the imaging sensor is used to ensure a high sampling rate with a common industrial camera and reduce the computation time consumption. Meanwhile, optical flow algorithm is employed to obtain the motion information of captured speckle images and regenerate the sound. These two points allow us to capture images from the camera and regenerate sound in real time without storing any data into the computer, which greatly increases the speed of the system and achieves a microphone-like functions. Experiments are conducted to show that the proposed system can detect and regenerate the sound signal in real-time with a high quality.
AB - Sound detection with optical means is an appealing research topic. Laser speckle is one effective method to detect the sound due to its sensitivity to tiny motion. The traditional laser-speckle sound recovery methods require a high-speed camera to record fast-moving speckle images and then recover the original sound signals from the motion information of the captured speckle images. In this manuscript, a laser microphone system is proposed to detect and regenerate the sound signal in real time. In the proposed system, only a small part of the imaging sensor is used to ensure a high sampling rate with a common industrial camera and reduce the computation time consumption. Meanwhile, optical flow algorithm is employed to obtain the motion information of captured speckle images and regenerate the sound. These two points allow us to capture images from the camera and regenerate sound in real time without storing any data into the computer, which greatly increases the speed of the system and achieves a microphone-like functions. Experiments are conducted to show that the proposed system can detect and regenerate the sound signal in real-time with a high quality.
KW - Laser Microphone
KW - Laser Speckle
KW - Optical Flow Algorithm
KW - Sound Recovery
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U2 - 10.1109/WOCC.2019.8770661
DO - 10.1109/WOCC.2019.8770661
M3 - Conference contribution
AN - SCOPUS:85070392636
T3 - 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
BT - 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Wireless and Optical Communications Conference, WOCC 2019
Y2 - 9 May 2019 through 10 May 2019
ER -