A Study on Recognition of Dangerous Behaviors using Privacy Protection Video in Single-person Household Environments (1인 가구 환경에서 프라이버시 보호 영상을 활용한 위험 행동 인식에 관한 연구)

Chae Hyun Lim (임채현); Myung-Ho Kim (김명호)

doi:10.9708/jksci.2022.27.05.047

A Study on Recognition of Dangerous Behaviors using Privacy Protection Video in Single-person Household Environments

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2022, 27(5), pp.47-54
DOI : 10.9708/jksci.2022.27.05.047
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : February 21, 2022
Accepted : April 21, 2022
Published : May 31, 2022

Chae Hyun Lim ¹, Myung-Ho Kim ¹

¹숭실대학교

Accredited

ABSTRACT

Recently, with the development of deep learning technology, research on recognizing human behavior is in progress. In this paper, a study was conducted to recognize risky behaviors that may occur in a single-person household environment using deep learning technology. Due to the nature of single-person households, personal privacy protection is necessary. In this paper, we recognize human dangerous behavior in privacy protection video with Gaussian blur filters for privacy protection of individuals. The dangerous behavior recognition method uses the YOLOv5 model to detect and preprocess human object from video, and then uses it as an input value for the behavior recognition model to recognize dangerous behavior. The experiments used ResNet3D, I3D, and SlowFast models, and the experimental results show that the SlowFast model achieved the highest accuracy of 95.7% in privacy-protected video. Through this, it is possible to recognize human dangerous behavior in a single-person household environment while protecting individual privacy.

KEYWORDS

Deep Learning, Privacy, Action Recognition, YOLOv5, Single-person household

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Recognition of Dangerous Behaviors using Privacy Protection Video in Single-person Household Environments

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Recognition of Dangerous Behaviors using Privacy Protection Video in Single-person Household Environments

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.