Carnegie Mellon University
Argus: The Digital Doorman

Rahul Sukthankar and Robert Stockton
IEEE Intelligent Systems, Vol. 16, No. 2, March, 2001.

  • Adobe portable document format (pdf) (1MB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

ARGUS is a multi-agent visitor identification system distributed over several workstations. Human faces are extracted from security camera images by a neural-network-based face detector, and identified as frequent visitors by a memory-based face recognition system. ARGUS then uses a messaging system to notify hosts that their guests have arrived. An interface agent enables users to submit feedback, which is immediately incorporated by the face recognizer to improve its accuracy. ARGUS has been operating successfully in an outdoor environment since January 1999.

face recognition, intelligent agents

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

Text Reference
Rahul Sukthankar and Robert Stockton, "Argus: The Digital Doorman," IEEE Intelligent Systems, Vol. 16, No. 2, March, 2001.

BibTeX Reference
   author = "Rahul Sukthankar and Robert Stockton",
   title = "Argus: The Digital Doorman",
   journal = "IEEE Intelligent Systems",
   month = "March",
   year = "2001",
   volume = "16",
   number = "2",