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Automatic detection of dining plates in digital video

  • Jie Nie*
  • , John D. Fernstrom
  • , Robert J. Sclabassi
  • , Madelyn H. Fernstrom
  • , Zhiqiang Wei
  • , Lu Li
  • , Weidong Zhang
  • , Wenyan Jia
  • , Zhi Hong Mao
  • , Mingui Sun
  • *Corresponding author for this work
  • Ocean University of China
  • University of Pittsburgh
  • Computational Diagnostics, Inc.

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

Abstract

An efficient approach to detect and localize dining plates in images and videos based on human vision is reported in this paper. Rapid processing is achieved by using random checkpoints on edges only, simulating the knowledge based target search in biological visual systems. A new grouping algorithm based on convexity is presented for a top-down segmentation of candidate objects. Our experiments demonstrate the effectiveness of the new approach.

Original languageEnglish
Title of host publicationProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event36th Annual Northeast Bioengineering Conference, NEBEC 2010 - New York, NY, United States
Duration: 26 Mar 201028 Mar 2010

Publication series

NameProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

Conference

Conference36th Annual Northeast Bioengineering Conference, NEBEC 2010
Country/TerritoryUnited States
CityNew York, NY
Period26/03/1028/03/10

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