Whac-a-mole: A head detection scheme by estimating the 3D envelope from depth image

Shih Wei Sun, Wen-Huang Cheng, Yan Ching Lin, Wei Chih Lin, Ya Ting Chang, Cheng Wei Peng

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

3 Scopus citations

Abstract

Interactive multimedia display has attracted great attention in recent years. However, most of the existing systems lack the user-aware capability, i.e. blind to the viewer's height and spatial location in a real-world 3D space, and often fail to provide a natural interaction. Therefore, in this work, we propose a probabilistic framework for detecting the viewer, (i.e. human heads) in depth images from a bird's eye view camera. In comparison to the state-of-the-art approaches, the experimental results demonstrated that the proposed framework can provide higher detection rate but also real-time execution. Even a large number of people are walking or standing together shoulder-by-shoulder, the proposed probabilistic head detection scheme is still able to give promising people detection capability.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
StatePublished - 29 Nov 2013
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: 15 Jul 201319 Jul 2013

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
CountryUnited States
CitySan Jose, CA
Period15/07/1319/07/13

Keywords

  • 3D envelope
  • depth camera
  • head detection
  • interactive display

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