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Carnegie Mellon Robotics Institute

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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 60o field of regard.

Keywords

Video Surveillance, Master-Slave, Motion Detection, Real-Time Tracking, Biometric Imagery

Notes

Sponsor: HumanID

Grant ID: ONR contract N00014-00-1-0915

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Human Identification at a Distance

Text Reference

Xuhui Zhou, Robert Collins, Takeo Kanade, and Peter Metes, "A Master-Slave System to Acquire Biometric Imagery of Humans at Distance," ACM International Workshop on Video Surveillance, November, 2003.

BibTeX Reference

@inproceedings{Zhou_2003_4549,
   author = "Xuhui Zhou and Robert Collins and Takeo Kanade and Peter Metes",
   editor = "ACM",
   title = "A Master-Slave System to Acquire Biometric Imagery of Humans at Distance",
   booktitle = "ACM International Workshop on Video Surveillance",
   month = "November",
   year = "2003",
}

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