2次元LiDARとCNNを用いた個人識別についての初歩的検討
Author:
Affiliation:
1. Graduate School of Science and Engineering, Hosei University
2. Faculty of Science and Engineering, Hosei University
Publisher
Japan Ergonomics Society
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jje/59/4/59_176/_pdf
Reference9 articles.
1. 1)Bhattacharyya, D; Rahul, R.; et al. Biometric authentication: A review. International Journal of u-and e-Service, Science and Technology. 2009, 2(3), p.13-28.
2. 2)槇原靖, 村松大吾, 他. 歩容認証とその科学捜査への応用. 電子情報通信学会 基礎・境界ソサイエティ Fundamentals Review. 2021, 14(4), p.318-328, doi: 10.1587/essfr.14.4_318.
3. 3)Shiqi, Y.; Daoliang, T.; et al. “Modelling the effect of view angle variation on appearance-based gait recognition”. Proceedings of 7th Asian Conference on Computer Vision. Hyderabad, India, 2006-01-13/16, doi: 10.1007/11612032_81.
4. 4)Li, K.; Wang, X.; et al. Density enhancement-based long-range pedestrian detection using 3-D range data. IEEE Transactions on Intelligent Transportation Systems. 2016, 17(5), p.1368-1380, doi: 10.1109/TITS.2015.2502325.
5. 5)Dikivski, B.; Madjarov, G.; et al. “Evaluation of different feature sets for gait recognition using skeletal data from Kinect”. Proceedings of 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, IEEE. Opatijia, Croatia, 2014-05-25/30, p.1304-1308, doi: 10.1109/MIPRO.2014.6859769.
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