{"title":"Automatic Visual Analysis for Transportation Security","authors":"N. Haering, K. Shafique","doi":"10.1109/THS.2007.370012","DOIUrl":null,"url":null,"abstract":"The safety and security of transportation infrastructure has become the focus of increased attention in the post-9/11 era. Concerns in this area include the possibility of terrorist activity directed at travelers and/or property. As the leader in intelligent video, ObjectVideo is developing intelligent capabilities specifically tailored to meet the needs of the transportation industry that work effectively in diverse environments, for example, tunnels of a subway, highway rail grade crossings, and air and seaports. ObjectVideo's intelligent system employs a network of visual sensors to monitor sensitive areas. The technology accurately detects, identifies, classifies, and tracks objects and people; automatically detects activities that violate user specified security rules and notifies security personnel in real-time about rule violations and suspicious activities. The system automatically monitors user specified areas for unauthorized people and vehicles loitering on a platform, for suspicious objects (e.g., backpacks or bags) left on or near sensitive locations, or for objects that are large enough to cause serious accidents. Because the system is capable of distinguishing non-threatening objects and controlling false alerts, the software maximizes the effectiveness of security personnel, allowing them to focus their efforts on potential threats, enhancing protection for all passengers, freight and facilities.","PeriodicalId":428684,"journal":{"name":"2007 IEEE Conference on Technologies for Homeland Security","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Conference on Technologies for Homeland Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2007.370012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The safety and security of transportation infrastructure has become the focus of increased attention in the post-9/11 era. Concerns in this area include the possibility of terrorist activity directed at travelers and/or property. As the leader in intelligent video, ObjectVideo is developing intelligent capabilities specifically tailored to meet the needs of the transportation industry that work effectively in diverse environments, for example, tunnels of a subway, highway rail grade crossings, and air and seaports. ObjectVideo's intelligent system employs a network of visual sensors to monitor sensitive areas. The technology accurately detects, identifies, classifies, and tracks objects and people; automatically detects activities that violate user specified security rules and notifies security personnel in real-time about rule violations and suspicious activities. The system automatically monitors user specified areas for unauthorized people and vehicles loitering on a platform, for suspicious objects (e.g., backpacks or bags) left on or near sensitive locations, or for objects that are large enough to cause serious accidents. Because the system is capable of distinguishing non-threatening objects and controlling false alerts, the software maximizes the effectiveness of security personnel, allowing them to focus their efforts on potential threats, enhancing protection for all passengers, freight and facilities.