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Face Identification for Human Robot Interaction: Intelligent Security System for Multi-user Working Environment on PC

Dohyung Kim, Ho‐Sub Yoon, Suyoung Chi, Young-jo Cho

Year
2006
Citations
3

Abstract

The ability to recognize people is positively necessary for interaction between robots and people. In this paper, we introduce intelligent security system that is able to recognize, track and remember user's face. System uses moving camera that has pan/tilt and zoom function like robot's eyes. In order to construct system, we propose the face identification method based on combining multiple features and applying multiple matching algorithms. Also, we address the benefits of multiple instances and show that identification ability can be improved by using proper combination strategy

Keywords

Computer scienceZoomIdentification (biology)RobotFace (sociological concept)Artificial intelligenceComputer visionConstruct (python library)Matching (statistics)Human–computer interaction

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