InSight: Recognizing humans without face recognition

He Wang, Xuan Bao, Romit Roy Choudhury, Srihari Nelakuditi

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

Abstract

Wearable cameras and displays, such as the Google Glass, are around the corner. This paper explores techniques that jointly leverage camera-enabled glasses and smartphones to recognize individuals in the visual surrounding. While face recognition would be one approach to this problem, we believe that it may not be always possible to see a person's face. Our technique is complementary to face recognition, and exploits the intuition that colors of clothes, decorations, and even human motion patterns, can together make up a "fingerprint". When leveraged systematically, it may be feasible to recognize individuals with reasonable consistency. This paper reports on our attempts, with early results from a prototype built on Android Galaxy phones and PivotHead's camera-enabled glasses. We call our system InSight.

Original languageEnglish (US)
Title of host publicationACM HotMobile 2013
Subtitle of host publicationThe 14th Workshop on Mobile Computing Systems and Applications
DOIs
StatePublished - 2013
Externally publishedYes
Event14th Workshop on Mobile Computing Systems and Applications, ACM HotMobile 2013 - Jekyll Island, GA, United States
Duration: Feb 26 2013Feb 27 2013

Publication series

NameACM HotMobile 2013: The 14th Workshop on Mobile Computing Systems and Applications

Other

Other14th Workshop on Mobile Computing Systems and Applications, ACM HotMobile 2013
Country/TerritoryUnited States
CityJekyll Island, GA
Period2/26/132/27/13

Keywords

  • augmented reality
  • distributed cameras
  • matching
  • recursion
  • smartphones
  • visual fingerprinting
  • wearable camera

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'InSight: Recognizing humans without face recognition'. Together they form a unique fingerprint.

Cite this