Convex hull regression strategy for people detection on top-view fisheye images-Reference-Cited by-同舟云学术

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Convex hull regression strategy for people detection on top-view fisheye images

Published:2023-11-16 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Qiao Rengjie,Cai Chengtao^ORCID,Meng Haiyang,Wu Kejun,Wang Feng,Zhao Jie

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s00371-023-03137-w.pdf

Reference35 articles.

1. Haggui, O., Bayd, H., Magnier, B., Aberkane, A.: Human detection in moving fisheye camera using an improved YOLOv3 framework. In: IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021. (2021). https://doi.org/10.1109/MMSP53017.2021.9733674

2. Wei, X., Wei, Y., Lu, X.: HD-YOLO: Using radius-aware loss function for head detection in top-view fisheye images. J. Vis. Commun. Image Represent. 90, 103715 (2023). https://doi.org/10.1016/j.jvcir.2022.103715

3. Wu, K., Liu, Q., Wang, Y., Yang, Y.: End-to-end varifocal multiview images coding framework from data acquisition end to vision application end. Opt. Express 31, 11659 (2023). https://doi.org/10.1364/oe.482141

4. Seidel, R., Apitzsch, A., Hirtz, G.: Improved person detection on omnidirectional images with non-maxima supression. In: VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 5, 474–481 (2019). https://doi.org/10.5220/0007388404740481

5. Dollar, P., Appel, R., Belongie, S., Perona, P.: Fast feature pyramids for object detection. IEEE Trans. Pattern Anal. Mach. Intell. 36, 1532–1545 (2014). https://doi.org/10.1109/TPAMI.2014.2300479

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