Title: | Face tracking using a combination of colour and pattern matching based on particle filter |
Authors: | Gonzalez, Matilde Collet, Christophe |
Citation: | WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 377-384. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf http://hdl.handle.net/11025/29726 |
ISBN: | 978-80-86943-58-9 |
ISSN: | 2464-4617 |
Keywords: | sledování tváře;filtr částic;robustní sledování;okluze;model barevných a vzhledových částic |
Keywords in different language: | face tracking;particule filter;robust tracking;occlusions;color and appearance particles model |
Abstract: | Robust real-time face tracking is an important and challenging task in computer vision applications. In this paper, we propose a novel particle filter algorithm to robustly track faces. Particle observations are computed by considering cue and appearance feature. Cue feature is used to identify skin regions, e.i. face and hands, while appearance is used to directly label targets. Normalized Cross Correlation (NCC) between an image template and particle samples is computed to robustly find the face among other skin regions. In other words, the image template is registered to a frame using particle filter to perform the optimization. Real-time is achieved by using integral images to compute image features. Evaluation results show the advantages and limitation of our approach. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2016: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Gonzalez.pdf | Plný text | 476,42 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29726
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