A SEARCH METHOD OF CAMERA DEPLOYMENT CONDITIONS FOR AI-BASED MONITORING

Author:

MUKAI Tomohiro1,YAGI Masahiro1,TAKAHASHI Sho2,HAGIWARA Toru2

Affiliation:

1. 北海道大学 大学院工学院

2. 北海道大学 大学院工学研究院

Publisher

Japan Society of Civil Engineers

Reference16 articles.

1. 1) 山中亮,神谷大輔,我部新,宮国敏明,菅芳樹:IoT デバイスを活用した交通流計測技術の基礎的研究,第 35 回ファジィシステムシンポジウム講演論文集,pp. 45-46, 2019. [Yamanaka, R., Kamiya, D., Gabe, A., Miyaguni, T. and Suga Y.: Study of the traffic flow measurement using IoT devices, Proceedings of the Fuzzy System Symposium, No. 35, pp. 45-46, 2019.]

2. 2) 高橋翔,林原局,長谷山美紀:レベルセット法を用いたサッカー映像における選手追跡手法,電子情報通信学会論文誌,Vol. J96-D, No. 3, pp. 695-703, 2013. [Takahashi, S., Lim, W. and Haseyama, M.: Player tracking by using level-set method in soccer video, Institute of Electronics, Information and Communication Engineers, Vol. J96-D, No. 3, pp. 695-703, 2013.]

3. 3) Tao, J., Wang, H., Zhang, X., Li, X. and Yang, H.: An object detection system based on YOLO in traffic scene, International Conference on Computer Science and Network Technology (ICCSNT), pp. 315-319, 2017.

4. 4) Haruyama, T., Takahashi, S., Ogawa, T. and Haseyama, M.: Multimodal important scene detection in far-view soccer videos based on single deep neural architecture, ITE Transactions on Media Technology and Applications, Vol. 8, No. 2, pp. 89-99, 2020.

5. 5) Haag, S. and Reiner, A.: Digital twin–Proof of concept, Manufacturing Letters, Vol. 15, pp. 64-66, 2018.

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