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Remote audio/video acquisition for human signature detection

  • Yufu Qu*
  • , Tao Wang
  • , Zhigang Zhu
  • *Corresponding author for this work
  • City University of New York

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To address the challenges of non-cooperative, large-distance human signature detection, we present a novel multimodal remote audio/video acquisition system. The system mainly consists of a laser Doppler virbometer (LDV) and a pan-tilt-zoom (PTZ) camera. The LDV is a unique remote hearing sensor that uses the principle of laser interferometry. However, it needs an appropriate surface to modulate the speech of a human subject and reflect the laser beam to the LDV receiver. The manual operation to turn the laser beam onto a target is very difficult at a distance of more than 20 meters. Therefore, the PTZ camera is used to capture the video of the human subject, track the subject when he/she moves, and analyze the image to get a good reflection surface for LDV measurements in real-time. Experiments show that the integration of those two sensory components is ideal for multimodal human signature detection at a large distance.

Original languageEnglish
Title of host publication2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
PublisherIEEE Computer Society
Pages66-71
Number of pages6
ISBN (Print)9781424439911
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2009 - Miami, FL, United States
Duration: 20 Jun 200925 Jun 2009

Publication series

Name2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2009
Country/TerritoryUnited States
CityMiami, FL
Period20/06/0925/06/09

Keywords

  • Audio-visual integration
  • Human recognition at a distance
  • Multimodal sensing

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