Enhanced motion robustness from ToF-based depth sensing cameras

Wataru Yamada, Hiroyuki Manabe, Hiroshi Inamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.

Original languageEnglish
Title of host publicationUIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages51-52
Number of pages2
ISBN (Electronic)9781450337809
DOIs
Publication statusPublished - 2015 Nov 6
Externally publishedYes
Event28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 - Charlotte, United States
Duration: 2015 Nov 82015 Nov 11

Publication series

NameUIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015
CountryUnited States
CityCharlotte
Period15/11/815/11/11

Fingerprint

Cameras
Human computer interaction
Stabilization
Color
Experiments

Keywords

  • Depth sensing camera
  • Exposure time
  • Visual tag

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Cite this

Yamada, W., Manabe, H., & Inamura, H. (2015). Enhanced motion robustness from ToF-based depth sensing cameras. In UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology (pp. 51-52). (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/2815585.2817807

Enhanced motion robustness from ToF-based depth sensing cameras. / Yamada, Wataru; Manabe, Hiroyuki; Inamura, Hiroshi.

UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2015. p. 51-52 (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yamada, W, Manabe, H & Inamura, H 2015, Enhanced motion robustness from ToF-based depth sensing cameras. in UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, Inc, pp. 51-52, 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015, Charlotte, United States, 15/11/8. https://doi.org/10.1145/2815585.2817807
Yamada W, Manabe H, Inamura H. Enhanced motion robustness from ToF-based depth sensing cameras. In UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2015. p. 51-52. (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology). https://doi.org/10.1145/2815585.2817807
Yamada, Wataru ; Manabe, Hiroyuki ; Inamura, Hiroshi. / Enhanced motion robustness from ToF-based depth sensing cameras. UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2015. pp. 51-52 (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology).
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