An Improved Method for Moving Target Detection Based on Spatial-temporal Fusion Filtering
Zhongmin Li, Haochen Wu, Guowei Zou
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.67How to use a DOI?
- Moving target detection, spatial-temporal fusion filtering, Laplace operator
- 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.
- 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 -