Background estimation under mobile platform based on dynamic template phase matching

Zichun Liang; Yinghui Xu; Weixian Qian

doi:10.1117/12.3039998

16 August 2024 Background estimation under mobile platform based on dynamic template phase matching

Zichun Liang, Yinghui Xu, Weixian Qian

Proceedings Volume 13231, 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024); 1323132 (2024) https://doi.org/10.1117/12.3039998
Event: 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024), 2024, Chongqing, China

Abstract

Background estimation and motion target detection under moving platform are key technologies in motion camera system, which has attracted much attention in recent years and is widely used in security monitoring, UAV detection and other optoelectronic detection systems. When the camera is mounted on a moving platform, the movement of the platform causes a corresponding displacement of the image background captured by the camera. Therefore, the stationary background estimation method based on a stationary camera is no longer applicable in this case. In this paper, we propose a method for calculating the image motion information using the dynamic template phase matching method. Homologous signal trajectories are then established based on the image motion information to compensate for the inverse motion of the background image. Finally, a more accurate stationary background image is obtained using the background modeling method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zichun Liang, Yinghui Xu, and Weixian Qian "Background estimation under mobile platform based on dynamic template phase matching", Proc. SPIE 13231, 4th International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2024), 1323132 (16 August 2024); https://doi.org/10.1117/12.3039998

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KEYWORDS

Cameras

Image filtering

Tunable filters

Phase matching

Image processing

Motion estimation

Fourier transforms

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