Artificial Intelligence Review - Special issue on lazy learning
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
JAFMAS: a multiagent application development system
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Computer Vision
The FERET September 1996 Database and Evaluation Procedure
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Journal of Cognitive Neuroscience
Three stage face recognition algorithm for visitor identification system
Enhanced methods in computer security, biometric and artificial intelligence systems
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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 ARENA, 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 ARENA to improve its face recognition performance. The ARGUS components were rapidly developed using JGram, an agent framework that is also detailed in this paper. JGram automatically converts high-level agent specifications into Java source code, and assembles complex tasks by composing individual agent services into a JGram pipeline. ARGUS has been operating successfully in an outdoor environment for several months.