A method of intentional movement estimation of oblique small-UAV videos stabilized based on homography model

Shiyi Guo; Ying Mai; Hongying Zhao; Pengqi Gao

doi:10.1117/12.2015576

31 May 2013 A method of intentional movement estimation of oblique small-UAV videos stabilized based on homography model

Shiyi Guo, Ying Mai, Hongying Zhao, Pengqi Gao

Author Affiliations +

Proceedings Volume 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; 87130X (2013) https://doi.org/10.1117/12.2015576
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

The airborne video streams of small-UAVs are commonly plagued with distractive jittery and shaking motions, disorienting rotations, noisy and distorted images and other unwanted movements. These problems collectively make it very difficult for observers to obtain useful information from the video. Due to the small payload of small-UAVs, it is a priority to improve the image quality by means of electronic image stabilization. But when small-UAV makes a turn, affected by the flight characteristics of it, the video is easy to become oblique. This brings a lot of difficulties to electronic image stabilization technology. Homography model performed well in the oblique image motion estimation, while bringing great challenges to intentional motion estimation. Therefore, in this paper, we focus on solve the problem of the video stabilized when small-UAVs banking and turning. We attend to the small-UAVs fly along with an arc of a fixed turning radius. For this reason, after a series of experimental analysis on the flight characteristics and the path how small-UAVs turned, we presented a new method to estimate the intentional motion in which the path of the frame center was used to fit the video moving track. Meanwhile, the image sequences dynamic mosaic was done to make up for the limited field of view. At last, the proposed algorithm was carried out and validated by actual airborne videos. The results show that the proposed method is effective to stabilize the oblique video of small-UAVs.

Citation Download Citation

Shiyi Guo, Ying Mai, Hongying Zhao, and Pengqi Gao "A method of intentional movement estimation of oblique small-UAV videos stabilized based on homography model", Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130X (31 May 2013); https://doi.org/10.1117/12.2015576

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