运输安全的自动可视化分析

N. Haering, K. Shafique
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引用次数: 9

摘要

交通基础设施的安全和保障已成为后9/11时代人们日益关注的焦点。这方面的关切包括针对旅行者和/或财产的恐怖主义活动的可能性。作为智能视频领域的领导者,ObjectVideo正在开发专门为满足运输行业在不同环境下有效工作的需求而量身定制的智能功能,例如地铁隧道、高速公路铁路平交道口、航空和海港。ObjectVideo的智能系统采用视觉传感器网络来监控敏感区域。该技术可以准确地检测、识别、分类和跟踪物体和人;自动检测违反用户安全规则的活动,并实时通知安全人员违反规则和可疑活动。该系统会自动监控用户指定的区域是否有未经授权的人员和车辆在平台上游荡,是否有可疑物品(如背包或包)留在敏感位置或附近,或者是否有足够大的物体导致严重事故。由于该系统能够区分非威胁性物体并控制虚假警报,因此该软件最大限度地提高了安全人员的效率,使他们能够将精力集中在潜在威胁上,加强对所有乘客、货物和设施的保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Visual Analysis for Transportation Security
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.
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