Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

An Improved Struck Tracking Method Based on Fast Search Method

Authors
Yunfeng Ni, Li Xu, Ying Hou
Corresponding Author
Yunfeng Ni
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.293How to use a DOI?
Keywords
Struck; SVM; Fast searching method; NTSS; Object tracking
Abstract

Traditional methods such as adaptive tracking-by-detection approaches generate a set of samples and, depending on the type of learner, producing training labels. ,However, it is not clear how to best perform their sample step. Furthermore, the objective for the classifier (label prediction) is not explicitly coupled to the objective for the tracker (accurate estimation of object position.). Then a new method named ,Struck, it avoids these steps and operates directly on the tracking .output. Struck uses a kernelized structured output support vector machine (SVM), which is learned ,online to provide adaptive tracking. What’s ,more, to allow for real-time application, it applies a budgeting mechanism which prevents the unbounded growth in the number of support vectors which would otherwise occur during tracking. However, this method does not run fast and may affect its real-time performance. To further improve its operating speed and simplify algorithm without reducing much ,accuracy, researchers introduce fast searching method to replace its original initial sampling and change some of its default .parameters. Just from the amount of ,calculation, the method can partly develop algorithm speed with good performance.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/lemcs-15.2015.293
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.293How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunfeng Ni
AU  - Li Xu
AU  - Ying Hou
PY  - 2015/07
DA  - 2015/07
TI  - An Improved Struck Tracking Method Based on Fast Search Method
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1473
EP  - 1478
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.293
DO  - 10.2991/lemcs-15.2015.293
ID  - Ni2015/07
ER  -