A foreground detection based video stabilization method and its application in aerospace measurement and control

Liang Zhang; Zhenhua Chen; Jinqian Tao; Zhaodun Huang; Hao Ding

doi:10.1117/12.2644567

12 October 2022 A foreground detection based video stabilization method and its application in aerospace measurement and control

Liang Zhang, Zhenhua Chen, Jinqian Tao, Zhaodun Huang, Hao Ding

Author Affiliations +

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 1234224 (2022) https://doi.org/10.1117/12.2644567
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

The output video of the optical equipment in the aerospace measurement and control field is prone to the problem of image quality degradation caused by the operator’s unstable manual operation. to improve the classical motion estimation based video stabilization algorithm, a novel video stabilization method based on foreground detection is proposed in this paper. Firstly, a object detection datasets based on historical images of the launch center is collected and labeled. Secondly, inspired by transfer learning and prior knowledge of the image in launch center, a YOLO-based object detection method for rocket launching scene is designed. Then, the object detection method is introduced into the motion estimation based video stabilization pipeline in which the object detection is used for foreground detection so the tracked feature points are filtered to reduce the global motion estimation error caused by the motion of the background area. Thus, the error stabilization problem in the classic motion estimation-based video stabilization method is avoided. Experiments show that the video stabilization method proposed in this paper achieved better image stabilization effect in subject and object evaluation. This paper has certain reference significance for exploring the application of deep learning and artificial intelligence technology in the field of aerospace measurement and control field.

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Liang Zhang, Zhenhua Chen, Jinqian Tao, Zhaodun Huang, and Hao Ding "A foreground detection based video stabilization method and its application in aerospace measurement and control", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 1234224 (12 October 2022); https://doi.org/10.1117/12.2644567

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KEYWORDS

Video

Motion estimation

Rockets

Data modeling

Aerospace engineering

Motion models

Detection and tracking algorithms

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