Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

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

Authors
Zhongmin Li, Haochen Wu, Guowei Zou
Corresponding Author
Zhongmin Li
Available Online August 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Science and Electronic Technology
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.67How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.67
DO  - https://doi.org/10.2991/cset-16.2016.67
ID  - Li2016/08
ER  -