Abstract
In this paper we present an overview of the contributed work presented at the UAVision2020 (International workshop on Computer Vision for UAVs) ECCV workshop. Note that during ECCV2020 this workshop was merged with the VisDrone2020 workshop. This paper only summarizes the results of the regular paper track and the ERTI challenge. The workshop focused on real-time image processing on-board of Unmanned Aerial Vehicles (UAVs). For such applications the computational complexity of state-of-the-art computer vision algorithms often conflicts with the need for real-time operation and the extreme resource limitations of the hardware. Apart from a summary of the accepted workshop papers and an overview of the challenge, this work also aims to identify common challenges and concerns which were addressed by multiple authors during the workshop, and their proposed solutions.
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References
Castellano, G., Castiello, C., Cianciotta, M., Mencar, C., Vessio, G.: Multi-view CNN for crowd counting from drones. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Peralta, D., Casimiro, J., Nilles, A.M., Aletta, J., Atienza, R., Cajote, R.: Next-best view policy for 3D reconstruction. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Shalev, A., Achrack, O., Fulkerson, B., Bobrovsky, B.Z.: Insights on evaluation of camera re-localization using relative pose regression. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Stadler, D., Sommer, L.W., Beyerer, J.: PAS tracker: position-, appearance- and size-aware multi-object tracking in drone videos. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Van Beeck, K., Tuytelaars, T., Scarramuza, D., Goedemé, T.: Real-Time embedded computer vision on UAVs. In: Leal-Taixé, L., Roth, S. (eds.) ECCV 2018. LNCS, vol. 11130, pp. 3–10. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11012-3_1
Wang, H., et al.: ATG-PVD: ticketing parking violations on a drone. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Wang, Y., Yang, Y., Zhao, X.: Object detection using clustering algorithm adaptive searching regions in aerial images. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Zhang, X., et al.: A deep learning filter for visual drone tracking. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Zhao, Z., Han, T., Gao, J., Wang, Q., Li, X.: A flow base bi-path network for crowd understanding. In: Proceedings of the European Conference on Computer Vision Workshops (ECCVW), UAVision/VisDrone2020 Workshop (2020)
Acknowledgements
This work is supported by the agency Flanders Innovation & Entrepreneurship (VLAIO, Tetra project Start To Deep Learn) and FWO (SBO Project Omnidrone).
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Van Beeck, K., Ophoff, T., Vandersteegen, M., Tuytelaars, T., Scaramuzza, D., Goedemé, T. (2020). Real-Time Embedded Computer Vision on UAVs:. In: Bartoli, A., Fusiello, A. (eds) Computer Vision – ECCV 2020 Workshops. ECCV 2020. Lecture Notes in Computer Science(), vol 12538. Springer, Cham. https://doi.org/10.1007/978-3-030-66823-5_40
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DOI: https://doi.org/10.1007/978-3-030-66823-5_40
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