TY - GEN
T1 - Accuracy evaluations of video anomaly detection using human pose estimation
AU - Ichihara, Kengo
AU - Takeuchi, Masaru
AU - Katto, Jiro
N1 - Funding Information:
VII. ACKNOWLEDGMENT This research is supported by technical test of 5G network enabling ultra high-speed data transport more than 2Gbps at indoor station of MIC (Ministry of Internal Affairs and Communication), Japan.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85082578049&partnerID=8YFLogxK
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U2 - 10.1109/ICCE46568.2020.9043128
DO - 10.1109/ICCE46568.2020.9043128
M3 - Conference contribution
AN - SCOPUS:85082578049
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Y2 - 4 January 2020 through 6 January 2020
ER -