To avoid collisions and other threads, we propose approaches to detect flying objects such as UAVs and aircrafts, even when they only occupy a small portion of the field of view, are possibly moving against complex backgrounds, and are filmed by a camera that itself moves.
We propose a novel approach to synthesizing images that are effective for training object detectors. Starting from a small set of real images, our algorithm estimates the rendering parameters required to synthesize similar images given a coarse 3D model of the target object. These parameters can then be reused to generate an unlimited number of training images of the (…)
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.Detecting a small drone against a complex moving background. (Left) It is almost invisible to the human eye and hard to detect from (…)