{"title":"Video Surveillance System Based on 3D Action Recognition","authors":"Sungjoo Park, Dongchil Kim","doi":"10.1109/ICUFN.2018.8436644","DOIUrl":null,"url":null,"abstract":"Human action recognition using depth-map images from 3D camera for surveillance system is a promising alternative to the conventional 2D video based surveillance. We propose a security-event detection method based on body part classification and human action recognition for more effective video surveillance system. Experimental results show that the body part classification accuracy of 65.0% and security event detection accuracy of 0.878 were achieved for 9 security events.","PeriodicalId":224367,"journal":{"name":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","volume":"48 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUFN.2018.8436644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Human action recognition using depth-map images from 3D camera for surveillance system is a promising alternative to the conventional 2D video based surveillance. We propose a security-event detection method based on body part classification and human action recognition for more effective video surveillance system. Experimental results show that the body part classification accuracy of 65.0% and security event detection accuracy of 0.878 were achieved for 9 security events.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
