An Improved Method for Moving Target Detection Based on Spatial-temporal Fusion Filtering

DOI

10.2991/cset-16.2016.67How to use a DOI?

Keywords

Moving target detection, spatial-temporal fusion filtering, Laplace operator

Abstract

Infrared weak small target detection is one of the key technologies in the infrared early warning system, infrared imaging guidance system and wide-field view surveillance system etc. In the complex and low signal-to-noise ratio background environment, the target has only a few pixels. There is no shape and texture information to use. All of the above issues bring great difficulties to infrared dim-small target detection. In this paper, in order to deal with the shortcoming of large pixel tracking in moving target detection algorithm based on time domain filtering, apply the dim target detection based on Laplace operator to the subject of this paper, the false alarm points obviously to be less, and the target point is usually in the form of a single pixel, lay a good foundation for reducing the complexity of the algorithm.

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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TY  - CONF
AU  - Zhongmin Li
AU  - Haochen Wu
AU  - Guowei Zou
PY  - 2016/08
DA  - 2016/08
TI  - An Improved Method for Moving Target Detection Based on Spatial-temporal Fusion Filtering
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 287
EP  - 289
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.67
DO  - 10.2991/cset-16.2016.67
ID  - Li2016/08
ER  -