DocumentCode :
1483222
Title :
Argus: the digital doorman
Author :
Sukthankar, Rahul ; Stockton, Robert
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
16
Issue :
2
fYear :
2001
Firstpage :
14
Lastpage :
19
Abstract :
When you´ve visited someone in a large apartment or office complex, chances are that a security guard in the lobby granted you access. Perhaps over time, the guard has learned to associate you with the person you plan to visit and immediately notifies that person over the building intercom when you arrive. Argus, named after the vigilant watchman from Greek mythology, is an automated version of such a security guard: a system for automatic visitor identification. We successfully implemented and tested Argus at Just Research. To detect visitors, Argus´s digital camera photographs the building entrance at regular intervals, and a motion detection algorithm identifies potential scenes containing visitors. Using a neural-network-based face detector, Argus extracts faces from these images. A memory-based face recognition system examines these faces and attempts to find visually similar matches in its stored database of visitors. An interface agent notifies system users whenever visitors arrive. Users can also provide feedback to Argus in the event of misclassified visitors. Because the face recognizer can learn online, Argus immediately incorporates these corrections into its face recognition data set.
Keywords :
authorisation; biometrics (access control); computer vision; face recognition; neural nets; Argus; automatic visitor identification; digital doorman; interface agent; memory-based face recognition; motion detection algorithm; neural-network-based face detector; security guard; Detectors; Digital cameras; Face detection; Face recognition; Image databases; Layout; Motion detection; Security; Testing; Visual databases;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/5254.920593
Filename :
920593
Link To Document :
بازگشت