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arXiv · 1411.7715

Flying Objects Detection from a Single Moving Camera

Artem Rozantsev·Vincent Lepetit·Pascal Fua
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Abstract

We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. Solving such a difficult problem requires combining both appearance and motion cues. To this end we propose a regression-based approach to motion stabilization of local image patches that allows us to achieve effective classification on spatio-temporal image cubes and outperform state-of-the-art techniques. As the problem is relatively new, we collected two challenging datasets for UAVs and Aircrafts, which can be used as benchmarks for flying objects detection and vision-guided collision avoidance.

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Artem Rozantsev, Vincent Lepetit, Pascal Fua. 2014-11-27. Flying Objects Detection from a Single Moving Camera. https://doi.org/10.1109/cvpr.2015.7299040

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