Accuracy evaluations of video anomaly detection using human pose estimation

Kengo Ichihara, Masaru Takeuchi, Jiro Katto

研究成果: Conference contribution

抜粋

Surveillance cameras are commonly used for security purpose. However, most of them are used for verification after incidents happen. In this paper, we propose a method for proactive video surveillance system using human pose estimation. Our method estimates anomaly scores of human actions using the video descriptors (human pose and bounding box) extracted by pose estimation and tracking methods. We estimate human poses, apply PCA, estimate GMM parameters, and finally calculate anomaly scores based on the GMM. We evaluate our method and compare with higher-level recognition-based method. Experimental results demonstrate effectiveness of human pose for video anomaly detection.

元の言語English
ホスト出版物のタイトル2020 IEEE International Conference on Consumer Electronics, ICCE 2020
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728151861
DOI
出版物ステータスPublished - 2020 1
イベント2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States
継続期間: 2020 1 42020 1 6

出版物シリーズ

名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics
2020-January
ISSN(印刷物)0747-668X

Conference

Conference2020 IEEE International Conference on Consumer Electronics, ICCE 2020
United States
Las Vegas
期間20/1/420/1/6

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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  • これを引用

    Ichihara, K., Takeuchi, M., & Katto, J. (2020). Accuracy evaluations of video anomaly detection using human pose estimation. : 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 [9043128] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; 巻数 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043128