Region Extraction Based Approach for Cigarette Usage Classification Using Deep Learning-Reference-Cited by-同舟云学术

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Region Extraction Based Approach for Cigarette Usage Classification Using Deep Learning

Published:2022 Issue: Volume: Page:378-390
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Pundhir Anshul^ORCID,Verma Deepak^ORCID,Kumar Puneet^ORCID,Raman Balasubramanian^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-11349-9_33

Reference20 articles.

1. Añazco, E.V., Lopez, P.R., Lee, S., Byun, K., Kim, T.S.: Smoking activity recognition using a single wrist IMU and deep learning light. In: International Conference on Digital Signal Processing (ICDSP), pp. 48–51 (2018)

2. Arief, L., Tantowi, A.Z., Novani, N.P., Sundara, T.A.: Implementation of YOLO and smoke sensor for automating public service announcement of cigarette’s hazard in public facilities. In: IEEE International Conference on Information Technology Systems and Innovation (ICITSI), vol. 782, no. 2, pp. 101–107 (2020)

3. Chang, Y., Du, Z., Sun, J.: Dangerous behaviors detection based on deep learning. In: International Conference on Artificial Intelligence and Pattern Recognition (AIPR), pp. 24–27 (2019)

4. Chien, T.C., Lin, C.C., Fan, C.P.: Deep learning based driver smoking behavior detection for driving safety. J. Image Graph. 8(1), 15–20 (2020)

5. Darrenl, T.: Labelimg: A Graphical Image Annotation Tool (2017). https://github.com/tzutalin/labelImg. Accessed 02 Oct 2021

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