Fast and Energy-Efficient Time-of-Flight Distance Sensing Method for 3D Object Tracking

Hannes Plank, Gerald Holweg, Christian Steger, Norbert Druml

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

Abstract

We present a new energy-efficient distance sensing method for 3D object tracking with Time-of-Flight sensors. The field of 3D object tracking with 3D cameras recently gained momentum due to the advent of front-facing depth cameras in smartphones. Tracking the user's head with 3D cameras will enable novel user experiences, but can lead to power consumption issues due to the active illumination. State-of-the-art continuous-wave Time-of-Flight imaging requires at least four different phase-images, while our approach can produce 3D measurements from single phase-images. This reduces the amount of emitted light to a minimum, improves latency and enables higher framerates. As our evaluation shows, after a brief initialization phase, our method can reduce the power consumption of a Time-of-Flight system by up to 68%.

Original languageEnglish
Title of host publication2018 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2018
EditorsMark Pickering, Lihong Zheng, Shaodi You, Ashfaqur Rahman, Manzur Murshed, Md Asikuzzaman, Ambarish Natu, Antonio Robles-Kelly, Manoranjan Paul
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781538666029
DOIs
Publication statusPublished - 16 Jan 2019
Event2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018 - Canberra, Australia
Duration: 10 Dec 201813 Dec 2018

Publication series

Name2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018

Conference

Conference2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018
CountryAustralia
CityCanberra
Period10/12/1813/12/18

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Keywords

  • 3d object tracking
  • depth sensing
  • face tracking
  • phase-images
  • smartphones
  • Time-of-Flight

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Radiology Nuclear Medicine and imaging

Cite this

Plank, H., Holweg, G., Steger, C., & Druml, N. (2019). Fast and Energy-Efficient Time-of-Flight Distance Sensing Method for 3D Object Tracking. In M. Pickering, L. Zheng, S. You, A. Rahman, M. Murshed, M. Asikuzzaman, A. Natu, A. Robles-Kelly, ... M. Paul (Eds.), 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018 [8615790] (2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2018.8615790