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Face Detection and Person Identification on Mobile Platforms

  • The Desire project aimed at the development and implementation of a mobile service robotic research platform (technology platform) able to handle real world scenarios regarding service robotic tasks. Different modules for different tasks plus an interaction infrastructure were integrated on this platform. An example of a real world scenario task is the support of a handicapped person to clean up a kitchen in home environments. One of the main challenges to be solved in this field is the interaction with people. To start an interaction process between a robot and a person, the most important information is the knowledge about the interacting partner’s identity and whether the interacting partner is present or not. This means, the robot must be able to detect and be finally able to identify persons. Accurate identification of specific individuals has to be done by analyzing the individual features of each person. A typical feature set that allows for a distinct identification of a specific person is often extracted from the facial image acquired by a camera. This feature-set is stored in a database to allow the identification of different persons independent from place and time by comparing given feature-sets. Thus, a face recognition module was integrated into the technology platform which includes face detection and identification algorithms.

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Author:Uwe Handmann, Sebastian Hommel, Michael Braukmann, Michael Dose
Parent Title (English):In: Towards Service Robots for Everyday Environments, Springer Tracts in Advanced Robotics (STAR)
Publisher:Springer Verlag
Place of publication:Heidelberg
Document Type:Conference Proceeding
Year of Completion:2012
Release Date:2019/06/12
Page Number:227–234
First Page:227
Last Page:234
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons