Specified Target Detection and Tracking on Complex Infrared Background

DOI

10.2991/iccasm.2012.356How to use a DOI?

Keywords

complex infrared background, specified target, region growing, spokes variance (SV), Kalman Filter

Abstract

In this paper, we analyze the key problems in the tracking of the specified target on the complex infrared background, for example how to judge the polarity of target, how to select the seed of region growing, and how to determine the suitable size of the detection window. We propose a reasonable solution for each problem, such as to judge the target polarity by comparing the gray value, and to segment the target by using the adaptive region growing and then determine the size of detection window. In this p aper, we propose the spokes variance (SV) method to describe the shape, and use the features of target to exclude interference, which include area, location, gray value and shape feature. Through the Kalman Filter to predict position of target, and solve the problem of target being covered in short time. The experimental results show that the algorithm is simple and effective, and achieved good tracking effect.

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  - Jingle Sun
AU  - Linbo Tang
AU  - Baojun Zhao
AU  - Qing Liu
PY  - 2012/08
DA  - 2012/08
TI  - Specified Target Detection and Tracking on Complex Infrared Background
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1394
EP  - 1396
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.356
DO  - 10.2991/iccasm.2012.356
ID  - Sun2012/08
ER  -