Detecting Flying Objects Using a Single Moving Camera

We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles (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. We argue that solving such a difficult problem r...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2017-05, Vol.39 (5), p.879-892
Main Authors: Rozantsev, Artem, Lepetit, Vincent, Fua, Pascal
Format: Article
Language:English
Subjects:
Aircraft
Cameras
Collision avoidance
Cubes
Drones
Field of view
Image classification
Military technology
Motion compensation
Moving object recognition
Object detection
Object recognition
Optical imaging
State of the art
Three-dimensional displays
Unmanned aerial vehicles
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Summary:We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles (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. We argue that solving such a difficult problem requires combining both appearance and motion cues. To this end we propose a regression-based approach for object-centric motion stabilization of image patches that allows us to achieve effective classification on spatio-temporal image cubes and outperform state-of-the-art techniques. As this problem has not yet been extensively studied, no test datasets are publicly available. We therefore built our own, both for UAVs and aircrafts, and will make them publicly available so they can be used to benchmark future flying object detection and collision avoidance algorithms.
ISSN:0162-8828
1939-3539
2160-9292
DOI:10.1109/TPAMI.2016.2564408