Modified Algorithm Research of Target Tracking of Mean Shift Infrared Imagery

DOI

10.2991/csic-15.2015.53How to use a DOI?

Keywords

Infrared imagery target, Mean shift, Weighted kernel histogram, Target tracking

Abstract

The moving target tracking of infrared imagery has been usually applied in the field of imaging and guidance military reconnaissance of weapon, and intelligent transportation system, video surveillance, etc. for civil use. The application of mean shift in the tracking of infrared target was investigated and the target model was built by utilizing the weighted kernel histogram of grayscale likelihood ratio, and then the disadvantages of mean shift were analyzed and modified in the target tracking. The modified algorithm has better tracking effect by contrasting experiments than the conventional one.

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  - Mingkai Yue
AU  - Jiahao Deng
PY  - 2015/07
DA  - 2015/07
TI  - Modified Algorithm Research of Target Tracking of Mean Shift Infrared Imagery
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 221
EP  - 224
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.53
DO  - 10.2991/csic-15.2015.53
ID  - Yue2015/07
ER  -