A Fast Target Tracking Algorithm Basted on Connected Component Labeling and Grey Value Statistics

DOI

10.2991/iccasm.2012.323How to use a DOI?

Keywords

Infrared small target, Connected component labeling, Grey value statistics, Real-time performance

Abstract

A fast target tracking algorithm based on connected component labeling and grey value statistics is proposed. First of all, nonlinear transformation is applied to perform enhancement for targets; and then adaptive threshold is applied to perform pre-processing division for the images; finally, target characteristics which are extracted through connected component labeling and grey value statistics are used to match the gray, the area and position of target, then pinpointing the target. Experimental results on the MATLAB software platform and the SOPC hardware platform show that it can perform real-time track accurately for the infrared small targets.

Copyright

© 2012, 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  - Qing Liu
AU  - Linbo Tang
AU  - Baojun Zhao
AU  - Jingle Sun
PY  - 2012/08
DA  - 2012/08
TI  - A Fast Target Tracking Algorithm Basted on Connected Component Labeling and Grey Value Statistics
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1267
EP  - 1270
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.323
DO  - 10.2991/iccasm.2012.323
ID  - Liu2012/08
ER  -