A real-time human identification system through multimodal information

Yu Cong Lan, Shih Wei Sun, Wen-Huang Cheng, Kai Lung Hua, Cheng Wei Peng

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

Abstract

Human identification is very important for many applications. Most existing methods are based on ID cards or biometrical methods, such as fingerprint hard information or clothing color soft biometric trait. In this work, we propose a novel framework for human identification through recognizing human moving trajectory by two modalities, that is, the motion information from bird's eye view depth cameras and the compass sensor signals of a mobile device. Our proposed system has the advantages of ease of installation and support real-time service. We believe the proposed system will have a significant promise for human identification service.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479947171
DOIs
StatePublished - 3 Sep 2014
Event2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 - Chengdu, China
Duration: 14 Jul 201418 Jul 2014

Publication series

Name2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014

Conference

Conference2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
CountryChina
CityChengdu
Period14/07/1418/07/14

Keywords

  • Head detection
  • compass
  • depth camera

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