A Monkey Swing Counting Algorithm Based on Object Detection
Author:
Affiliation:
1. School of Aeronautics and Astronautics, Zhejiang University
2. Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science
3. Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/4/E107.D_2023EDL8055/_pdf
Reference17 articles.
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2. [2] H. Zhu, H. Wei, B. Li, X. Yuan, and N. Kehtarnavaz, “A review of video object detection: datasets, metrics and methods,” Applied Sciences, vol.10, no.21, Article no.7834, 2020. 10.3390/app10217834
3. [3] R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.580-587, 2014.
4. [4] W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A.C. Berg, “SSD: Single Shot MultiBox Detector,” ECCV 2016, Part I, vol.9905, pp.21-37, in B. Leibe, J. Matas, N. Sebe, and M. Welling, Eds., LNCS, Cham: Springer, 2016. 10.1007/978-3-319-46448-0_2
5. [5] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,” IEEE Trans. Pattern Anal. Mach. Intell., vol.39, no.6, pp.1137-1149, 2017. 10.1109/tpami.2016.2577031
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