Proceedings of the 2015 International Conference on Mechanical Science and Engineering

An Improved TLD Visual Tracking and Detection Algorithm Based on Depth Image Information

Authors
Jialiang Mao, Xiaorong Shen
Corresponding Author
Jialiang Mao
Available Online March 2016.
DOI
10.2991/mse-15.2016.47How to use a DOI?
Keywords
visual tracking; tracking-learning-detection; depth information; blob detection
Abstract

Tracking-Learning-Detection(TLD) algorithm has the advantages of high speed, high accuracy of tracking rate and self-detection mechanism. However the sensitivity to illumination variation and background clutter leads to drift even miss for TLD algorithm under the complex environment. An improved TLD visual tracking algorithm based on depth information is proposed, which is improved from three aspects. The first is that a foreground extraction algorithm based on denoised depth data is adopted to extract the region of interest. Second, a sophisticated detection of blob approach is used to narrow down the searching area. And the third is that the non-maximal suppression strategies are applied to optimize the result. The experimental results show that the time complexity of proposed is decreased and the robustness is upgrade under challenging circumstances.

Copyright
© 2016, 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 2015 International Conference on Mechanical Science and Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-172-8
ISSN
2352-5401
DOI
10.2991/mse-15.2016.47How to use a DOI?
Copyright
© 2016, 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  - Jialiang Mao
AU  - Xiaorong Shen
PY  - 2016/03
DA  - 2016/03
TI  - An Improved TLD Visual Tracking and Detection Algorithm Based on Depth Image Information
BT  - Proceedings of the 2015 International Conference on Mechanical Science and Engineering
PB  - Atlantis Press
SP  - 274
EP  - 282
SN  - 2352-5401
UR  - https://doi.org/10.2991/mse-15.2016.47
DO  - 10.2991/mse-15.2016.47
ID  - Mao2016/03
ER  -