Running to Get Recognised

Author:

Carty GerardORCID,Raja Muhammad AdilORCID,Ryan ConorORCID

Publisher

Springer Singapore

Reference22 articles.

1. Alexey, A.B.: AlexeyAB/darknet: Windows and Linux version of Darknet Yolo v3 v2 Neural Networks for object detection (Tensor Cores are used) (2019). https://github.com/AlexeyAB/darknet. Accessed 4 Oct 2020

2. Ben-Ami, I., Basha, T., Avidan, S.: Racing bib number recognition. In: BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012. Tel Aviv University (2012)

3. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: YOLOv4: optimal speed and accuracy of object detection (2020). http://arxiv.org/abs/2004.10934

4. Boonsim, N.: Racing bib number localization on complex backgrounds. Technical reports (2018)

5. Boonsim, N., Kanjaruek, S.: Racing bib number localization based on region convolutional neural networks. In: Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 293–297 (2018)

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