Generating Proposals from Corners in RPN to Detect Bees in Dense Scenes

Yassine Kriouile, Yassine Kriouile, Corinne Ancourt, Katarzyna Wegrzyn-Wolska, Katarzyna Wegrzyn-Wolska, Lamine Bougueroua

2022

Abstract

Detecting bees in beekeeping is an important task to help beekeepers in their work, such as counting bees, and monitoring their health status. Deep learning techniques could be used to perform this automatic detection. For instance Faster RCNN is a neural network for object detection that is suitable for this kind of tasks. But its accuracy is degraded when it comes to images of bee frames due to the high density of objects. In this paper, we propose to extend the RPN sub-neural network of Faster RCNN to improve detection recall. In addition to detect bees from centers, four branches are added to detect bees from their corners. We constructed a dataset of images and annotated it. We compared this approach to the standard Faster RCNN. It improves the detection accuracy. Code is available at https://github.com/yassine-kr/RPNCorner.

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Paper Citation


in Harvard Style

Kriouile Y., Ancourt C., Wegrzyn-Wolska K. and Bougueroua L. (2022). Generating Proposals from Corners in RPN to Detect Bees in Dense Scenes. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-555-5, pages 339-350. DOI: 10.5220/0010815000003124


in Bibtex Style

@conference{visapp22,
author={Yassine Kriouile and Corinne Ancourt and Katarzyna Wegrzyn-Wolska and Lamine Bougueroua},
title={Generating Proposals from Corners in RPN to Detect Bees in Dense Scenes},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2022},
pages={339-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010815000003124},
isbn={978-989-758-555-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Generating Proposals from Corners in RPN to Detect Bees in Dense Scenes
SN - 978-989-758-555-5
AU - Kriouile Y.
AU - Ancourt C.
AU - Wegrzyn-Wolska K.
AU - Bougueroua L.
PY - 2022
SP - 339
EP - 350
DO - 10.5220/0010815000003124