| Title: | Augmentation of mean-shift method to facilitate face tracking |
| Authors: | Akhriev, Albert |
| Citation: | WSCG ’2010: Poster Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 61-64. |
| Issue Date: | 2010 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_Poster-proceedings.pdf http://hdl.handle.net/11025/1104 |
| ISBN: | 978-80-86943-86-2 |
| Keywords: | rozlišení histogramu;Renyiho entropie;mean shift color tracker |
| Keywords in different language: | mean shift color tracker;histogram resolution;Renyi entropy |
| Abstract: | In this paper we introduce an improvement to the well known mean-shift color tracker. On each new frame we estimate the histogram resolution which provides the best separation between color distributions of the object and the background. The optimal resolution is derived from the principle of minimum uncertainty of foreground/background classification. The augmented mean-shift method with variable histogram resolution was applied to the task of face tracking. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG '2010: Poster Paper Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Akhriev.pdf | 153,17 kB | Adobe PDF | View/Open |
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