Sensors, Vol. 21, Pages 513: Registering Unmanned Aerial Vehicle Videos in the Long Term

Sensors, Vol. 21, Pages 513: Registering Unmanned Aerial Vehicle Videos in the Long Term Sensors doi: 10.3390/s21020513 Authors: Pierre Lemaire Carlos Fernando Crispim-Junior Lionel Robinault Laure Tougne Unmanned aerial vehicles (UAVs) have become a very popular way of acquiring video within contexts such as remote data acquisition or surveillance. Unfortunately, their viewpoint is often unstable, which tends to impact the automatic processing of their video flux negatively. To counteract the effects of an inconsistent viewpoint, two video processing strategies are classically adopted, namely registration and stabilization, which tend to be affected by distinct issues, namely jitter and drifting. Following our prior work, we suggest that the motion estimators used in both situations can be modeled to take into account their inherent errors. By acknowledging that drifting and jittery errors are of a different nature, we propose a combination that is able to limit their influence and build a hybrid solution for jitter-free video registration. In this work, however, our modeling was restricted to 2D-rigid transforms, which are rather limited in the case of airborne videos. In the present paper, we extend and refine the theoretical ground of our previous work. This addition allows us to show how to practically adapt our previous work to perspective transforms, which our study shows to be much more accurate for this problem. A lightweight implementation enables us t...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research