A master-slave system to acquire biometric imagery of humans at distance

  • Authors:
  • Xuhui Zhou;Robert T. Collins;Takeo Kanade;Peter Metes

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • IWVS '03 First ACM SIGMM international workshop on Video surveillance
  • Year:
  • 2003

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Abstract

The Distant Human Identification (DHID) system is a master-slave, real-time surveillance system designed to acquire biometric imagery of humans at distance. A stationary wide field of view master camera is used to monitor an environment at distance. When the master camera detects a moving person, a narrow field of view slave camera is commanded to turn to that direction, acquire the target human, and track them while recording zoomed-in images. These zoomed-in views provide meaningful biometric imagery of the distant humans, who are not recognizable in the master view. Based on the lenses we currently use, the system can detect and track moving people at distances up to 50 meters, within a 60° field of regard.