Title: | Implementation of face recognition methods as a first step for human behaviour analysis in intelligent room |
Authors: | Ronzhin, Alexander Vatamaniuk, Irina Železný, Miloš |
Citation: | WSCG 2016: poster papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 61-64. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2603.pdf http://hdl.handle.net/11025/29595 |
ISBN: | 978-80-86943-59-6 |
ISSN: | 2464-4617 |
Keywords: | počítačové vidění;rozpoznání obličeje;normalizace obrazu;snímek s nízkým rozlišením;odhad kvality obrazu;inteligentní pokoj |
Keywords in different language: | computer vision;face recognition;image normalization;low resolution image;image quality estimation;intelligent room |
Abstract: | This paper discuss an intelligent space concepts, goals and developments. The review presents an analysis of seven intelligent meeting rooms, equipment and developed services. One of the main goals of intelligent space is the development of proactive services. Realization of such types of services requires the analysis of current situation in a room as well as behaviour of the audience. Implementation of methods for facial features analysis are the first step for this goal destination. This paper presents an algorithm for facial image normalization and recognition as well as a developed system for automatic registration and identification of meeting participants in the intelligent room. The developed algorithm is intended for processing of low resolution facial images with approximate size of 30x30 pixels. The experiments shows distribution of participants recognition rate by variety of their face sizes. In addition, implementation of blur estimation method at preliminary stage of facial image processing shows an increase of the whole system speed as well as a decrease in face recognition error rate. |
Rights: | © Václav Skala - Union Agency |
Appears in Collections: | WSCG 2016: Poster Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Ronzhin.pdf | Plný text | 2,6 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29595
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