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Conference Paper Modified Mean-Shift for Head Tracking
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Authors
Daeha Lee, Jaehong Kim, JooChan Sohn
Issue Date
2011-11
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2011, pp.848-849
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/URAI.2011.6146040
Abstract
Mean-Shift algorithm has been applied mode seeking, image segmentation and object tracking. It is famous for fast convergence within limited boundary. But once exit that boundary, it fails to find correct region and position. We applied mean-shift algorithm in object tracking, and we suggest modified mean-shift tracking method. Using this modified version, we can track object without failing. © 2011 IEEE.
KSP Keywords
Fast convergence, Head tracking, Mean-shift(MS), Mean-shift tracking, Object Tracking, Tracking method, image segmentation, mean-shift algorithm