Appearance of video satellite brings a new favorable opportunity for real-time observation of remote sensing and provides a kind of new data for dynamic monitoring and target tracking. Based on the differences in target detection between remote sensing satellite video and traditional surveillance video, this work indicates the problems about applying existing target detection algorithm directly to satellite video. A new approach which combines the background subtraction and frame subtraction technologies is proposed for better detection of the moving target in remote sensing satellite video. Moving vehicles in 4 frame images acquired from UrtheCast videos are detected by using the background subtraction method, the frame subtraction method, and the proposed method. The results indicate that the proposed method has a good ability in reducing the errors of mobile background edges and residual noises, improves the correctness and quality of detection, and has a promising application in moving target detection in satellite videos.
YUAN Yiqin
,
HE Guojin
,
WANG Guizhou
,
JIANG Wei
,
KANG Jinzhong
. A background subtraction and frame subtraction combined method for moving vehicle detection in satellite video data[J]. Journal of University of Chinese Academy of Sciences, 2018
, 35(1)
: 50
-58
.
DOI: 10.7523/j.issn.2095-6134.2018.01.007
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