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자료유형
학술저널
저자정보
(한성대학교) (한성대학교) (한성대학교) (한성대학교) (한성대학교) (한성대학교)
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국제인공지능학회 지능정보논문지 한국인터넷방송통신학회 논문지 제23권 제4호
발행연도
수록면
107 - 113 (7page)

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초록· 키워드

This paper proposes a method for detecting smoking behavior in images using artificial intelligence technology. Since smoking is not a static phenomenon but an action, the object detection technology was combined with the posture estimation technology that can detect the action. A smoker detection learning model was developed to detect smokers in images, and the characteristics of smoking behaviors were applied to posture estimation technology to detect smoking behaviors in images. YOLOv8 was used for object detection, and OpenPose was used for posture estimation. In addition, when smokers and non-smokers are included in the image, a method of separating only people was applied. The proposed method was implemented using Google Colab NVIDEA Tesla T4 GPU in Python, and it was found that the smoking behavior was perfectly detected in the given video as a result of the test.
#Deep Learning #Object Detection #Pose Estimation #Smoking #SORT Tracking Algorithm
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