P. Miller, Weiru Liu, C. Fowler, Huiyu Zhou, Jiali Shen, Jianbing Ma, Jianguo Zhang, Weiqi Yan, K. Mclaughlin, S. Sezer
{"title":"Intelligent Sensor Information System For Public Transport – To Safely Go…","authors":"P. Miller, Weiru Liu, C. Fowler, Huiyu Zhou, Jiali Shen, Jianbing Ma, Jianguo Zhang, Weiqi Yan, K. Mclaughlin, S. Sezer","doi":"10.1109/AVSS.2010.36","DOIUrl":null,"url":null,"abstract":"The Intelligent Sensor Information System (ISIS) isdescribed. ISIS is an active CCTV approach to reducingcrime and anti-social behavior on public transportsystems such as buses. Key to the system is the idea ofevent composition, in which directly detected atomicevents are combined to infer higher-level events withsemantic meaning. Video analytics are described thatprofile the gender of passengers and track them as theymove about a 3-D space. The overall system architectureis described which integrates the on-board eventrecognition with the control room software over a wirelessnetwork to generate a real-time alert. Data frompreliminary data-gathering trial is presented.","PeriodicalId":415758,"journal":{"name":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2010.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The Intelligent Sensor Information System (ISIS) isdescribed. ISIS is an active CCTV approach to reducingcrime and anti-social behavior on public transportsystems such as buses. Key to the system is the idea ofevent composition, in which directly detected atomicevents are combined to infer higher-level events withsemantic meaning. Video analytics are described thatprofile the gender of passengers and track them as theymove about a 3-D space. The overall system architectureis described which integrates the on-board eventrecognition with the control room software over a wirelessnetwork to generate a real-time alert. Data frompreliminary data-gathering trial is presented.
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
