Deep learning based event recognition in aerial imagery
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
Abstract
In this paper, we investigate event recognition for aerial surveillance. This is a significant task especially when we consider the growing popularity of UAVs. The main purpose of the paper is to detect events both at the clip level in aerial videos and also at the frame level in aerial images. To achieve this goal, novel deep learning models and training techniques are used. In this work, we propose new model architectures to detect events in both image and video domains. The developed models are tested on the ERA dataset. Results show that the proposed models achieve state-of-the-art performance on both single images and aerial video clips of the ERA dataset.
Source :
2023 8th International Conference on Computer Science and Engineering (UBMK)
Date :
2023
Publisher :
IEEE
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