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Region extraction based approach for cigarette usage classification using deep learning

2021-03-23 13:19:43
Anshul Pundhir, Deepak Verma, Puneet Kumar, Balasubramanian Raman
arXiv_CV
               
Abstract

This paper has proposed a novel approach to classify the subjects' smoking behavior by extracting relevant regions from a given image using deep learning. After the classification, we have proposed a conditional detection module based on Yolo-v3, which improves model's performance and reduces its complexity. As per the best of our knowledge, we are the first to work on this dataset. This dataset contains a total of 2,400 images that include smokers and non-smokers equally in various environmental settings. We have evaluated the proposed approach's performance using quantitative and qualitative measures, which confirms its effectiveness in challenging situations. The proposed approach has achieved a classification accuracy of 96.74% on this dataset.

Abstract (translated)

URL

https://arxiv.org/abs/2103.12523

PDF

https://arxiv.org/pdf/2103.12523.pdf

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