Open-set face recognition-based visitor interface system

Hazim Kemal Ekenel; Lorant Szasz-Toth; Rainer Stiefelhagen

doi:10.1007/978-3-642-04667-4_5

Open-set face recognition-based visitor interface system

Hazim Kemal Ekenel, Lorant Szasz-Toth, Rainer Stiefelhagen

Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This work presents a real-world, real-time video-based open-set face recognition system. The system has been developed as a visitor interface, where a visitor looks at the monitor to read the displayed message before knocking on the door. While the visitor is reading the welcome message, using the images captured by the webcam located on the screen, the developed face recognition system identifies the person without requiring explicit cooperation. According to the identity of the person, customized information about the host is conveyed. To evaluate the system's performance in this application scenario, a face database has been collected in front of an office. The experimental results on the collected database show that the developed system can operate reliably under real-world conditions.

Original language	English (US)
Title of host publication	Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings
Pages	43-52
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-04667-4_5
State	Published - 2009
Event	7th International Conference on Computer Vision Systems, ICVS 2009 - Liege, Belgium Duration: Oct 13 2009 → Oct 15 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5815 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computer Vision Systems, ICVS 2009
Country/Territory	Belgium
City	Liege
Period	10/13/09 → 10/15/09

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-04667-4_5

Cite this

Ekenel, H. K., Szasz-Toth, L., & Stiefelhagen, R. (2009). Open-set face recognition-based visitor interface system. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings (pp. 43-52). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS). https://doi.org/10.1007/978-3-642-04667-4_5

Open-set face recognition-based visitor interface system. / Ekenel, Hazim Kemal; Szasz-Toth, Lorant; Stiefelhagen, Rainer.
Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. 2009. p. 43-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ekenel, HK, Szasz-Toth, L & Stiefelhagen, R 2009, Open-set face recognition-based visitor interface system. in Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5815 LNCS, pp. 43-52, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, 10/13/09. https://doi.org/10.1007/978-3-642-04667-4_5

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AB - This work presents a real-world, real-time video-based open-set face recognition system. The system has been developed as a visitor interface, where a visitor looks at the monitor to read the displayed message before knocking on the door. While the visitor is reading the welcome message, using the images captured by the webcam located on the screen, the developed face recognition system identifies the person without requiring explicit cooperation. According to the identity of the person, customized information about the host is conveyed. To evaluate the system's performance in this application scenario, a face database has been collected in front of an office. The experimental results on the collected database show that the developed system can operate reliably under real-world conditions.

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Open-set face recognition-based visitor interface system

Abstract

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