Modified Mean-Shift for head tracking

Modified Mean-Shift for head tracking

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 modifie...

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Hauptverfasser: Daeha Lee, Jaehong Kim, JooChan Sohn
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Mean shift
Mean shift tracking
object detection
object tracking
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Jaehong Kim
JooChan Sohn
description 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.
doi_str_mv 10.1109/URAI.2011.6146040
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subjects Mean shift
Mean shift tracking
object detection
object tracking
title Modified Mean-Shift for head tracking
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