Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトル2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728106601
DOI
出版物ステータスPublished - 2019 5 1
イベント28th Wireless and Optical Communications Conference, WOCC 2019 - Beijing, China
継続期間: 2019 5 92019 5 10

出版物シリーズ

名前2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings

Conference

Conference28th Wireless and Optical Communications Conference, WOCC 2019
China
Beijing
期間19/5/919/5/10

Fingerprint

Optical flows
Speckle
regeneration
Acoustic waves
acoustics
Lasers
lasers
Microphones
microphones
Cameras
cameras
Regeneration
Laser
high speed cameras
High speed cameras
recovery
sampling
Sampling
Imaging techniques
Recovery

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Hardware and Architecture
  • Atomic and Molecular Physics, and Optics

これを引用

Wu, N., & Haruyama, S. (2019). Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images. : 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings [8770661] (2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WOCC.2019.8770661

Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images. / Wu, Nan; Haruyama, Shinichiro.

2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8770661 (2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings).

研究成果: Conference contribution

Wu, N & Haruyama, S 2019, Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images. : 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings., 8770661, 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 28th Wireless and Optical Communications Conference, WOCC 2019, Beijing, China, 19/5/9. https://doi.org/10.1109/WOCC.2019.8770661
Wu N, Haruyama S. Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images. : 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8770661. (2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings). https://doi.org/10.1109/WOCC.2019.8770661
Wu, Nan ; Haruyama, Shinichiro. / Real-time sound detection and regeneration based on optical flow algorithm of laser speckle images. 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings).
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