Analysis of 3D Scene Visual Characteristics Based on Virtual Modeling for Surveillance Sensors Parameters

Author:

Pechenkin VitalyORCID,Dolinina OlgaORCID,Brovko AlexanderORCID,Korolev MikhailORCID

Publisher

Springer International Publishing

Reference13 articles.

1. Zhao, J., Haws, D., Yoshida, R., Cheung, S.: Approximate techniques in solving optimal camera placement problems. Int. J. Distributed Sensor Netw. 2013 (2013). https://doi.org/10.1155/2013/241913

2. Zhmud, V., Lyapidevsky, A., Avramchuk, V., Stukach, O., Roth, H.: Technology industrial internet of things: possible barriers and ways to overcome them. Autom. Softw. Eng. 2(28), 50–60 (2019). http://www.jurnal.nips.ru/sites/default/files/AaSI-2-2019-6_0.pdf

3. Ruoxuan, C., Minyi, L., Manhua, L.: Facial Expression Recognition Based on Ensemble of Multiple CNNs/ CCBR 2016, pp. 511-578. Springer, Cham (2016)

4. Christopher, P., Kampel, M.: Facial expression recognition using convolutional neural networks: state of the art. Computer Vision Lab Vienna Austria (2016)

5. Zhou, Y., Liu, L., Shao, L., Mellor, M.: Fast automatic vehicle annotation for urban traffic surveillance. IEEE Trans. Intell. Transport. Syst. 19(6), 1973–1984 (2018)

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