Target Tracking Method in Aerial Video Based on Saliency Fusion

DOI

10.2991/meic-15.2015.165How to use a DOI?

Keywords

salience;aerial video;target tracking; dynamic background;biological vision

Abstract

For the problem that when doing target tracking under dynamic background, the object extraction is susceptible to interference. Based on the static and dynamic saliency maps of video sequence, this paper presents a method of feature fusion. By calculating the weight for each of the significant area of the extracted static and dynamic saliency, based on human visual attention mechanism, the weighted comprehensive significant figure is get, so as to determine the status of the target. Several experiments are done by the mathod put forward in this paper and the experimental results show that the algorithm is able to solve the problem of susceptible to interference in target tracking, while ensuring robustness and meeting the real-time and accuracy needed. And the algorithm in this paper not only improves the real-time performance and robustness on the premise of guaranteeing the tracking accuracy, but also gives attribution to the field of target tracking.

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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TY  - CONF
AU  - Jie Han
AU  - Baolong Guo
AU  - Wei Sun
PY  - 2015/04
DA  - 2015/04
TI  - Target Tracking Method in Aerial Video Based on Saliency Fusion
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 723
EP  - 727
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.165
DO  - 10.2991/meic-15.2015.165
ID  - Han2015/04
ER  -