Scale and shape adaptive mean shift object tracking in video sequences

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Quast K, Kaup A
Publication year: 2009
Pages range: 1513-1517
ISBN: 978-161-7388-76-7
Language: English


Abstract


A new technique for object tracking based on the mean shift method is presented. Instead of using a symmetric kernel like in traditional mean shift tracking, the proposed tracking algorithm uses an asymmetric kernel which is retrieved from an object mask. During the mean shift iterations not only the new object position is located but also the kernel scale is altered according to the object scale, providing an initial adaption of the object shape. The final shape of the kernel is then obtained by segmenting the area inside and around the adapted kernel and distinguishing the object segments from the non-object segments. Thus, the object shape is tracked very well even if the object is performing out-of-plane rotations. © EURASIP, 2009.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Quast, Katharina Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Quast, K., & Kaup, A. (2009). Scale and shape adaptive mean shift object tracking in video sequences. In Proceedings of the 17th European Signal Processing Conference, EUSIPCO 2009 (pp. 1513-1517). Glasgow, GB.

MLA:
Quast, Katharina, and André Kaup. "Scale and shape adaptive mean shift object tracking in video sequences." Proceedings of the 17th European Signal Processing Conference, EUSIPCO 2009, Glasgow 2009. 1513-1517.

BibTeX: 

Last updated on 2019-10-05 at 00:10