AMETHYST:视频检测与非视频检测智能结合的增强型检测系统

M. Horner
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引用次数: 6

摘要

AMETHYST项目(自动事件认证系统)的目的是通过将智能场景监控(ISM)或视频运动检测(VMD)技术与另一种检测系统相结合,鼓励高性能外围入侵检测系统的开发。两种系统相辅相成,形成一种检测概率高、虚警率低的检测系统。周界入侵检测系统(pid)在周界较长、极端天气条件和需要高检测概率的站点上的性能往往较差。基于视频的检测系统(ISM和VMD)在复杂性和性能方面都在不断提高。尽管如此,基于视频的叛逃仍然存在局限性。首先,视频pid可能需要几年时间才能达到长周长所需的性能。其次,当没有视频时,例如在雾中,就没有检测。有可能将视频检测与另一种传感器相结合,以减少视频的缺点,同时保留其优点。一个非视频小岛屿监测系统将用于探测入侵。在报警时,闭路电视图像序列将被一个循环帧存储系统捕获。然后将使用目标自动验证辅助(TAVA)来确定警报序列中是否存在可疑活动。许多假警报没有明显的原因,所以TAVA会过滤掉这些。误报率将低于正常VMD,因为TAVA只需要评估报警序列。如果没有视频或雾太大,TAVA将通过从非视频pid发出警报信号来“故障安全”。TAVA可以使用比VMD更复杂的处理,而且仍然更便宜,因为它可以针对处理。PSDB计划从具有非视频pid和连接到CCTV系统的环路框架存储的站点收集警报序列。这些序列将用于证明概念和评估TAVA的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMETHYST: an enhanced detection system intelligently combining video detection and non-video detection systems
The aim of the AMETHYST project (AutoMatic Event auTHentication SYSTems) is to encourage the development of a high performance perimeter intrusion detection system by combining Intelligent Scene Monitoring (ISM) or Video Motion Detection (VMD) technology with another detection system. The two systems would complement each other to produce a detection system with a high probability of detection and low false alarm rate. The performance of Perimeter Intrusion Detection Systems (PIDS) is often poor at sites with long perimeters, with extreme weather conditions and requiring a high probability of detection. Video based detection systems (ISM and VMD) are improving in sophistication and performance. Despite this there are still limitations with video based defection. Firstly, it may be several years before the video PIDS achieve the performance required for long perimeters. Secondly, when there is no video, for example in fog, there is no detection. There is potential for combining video detection with another sensor to reduce the disadvantages of video whilst retaining its advantages. A non-video SIDS would be used to detect intrusions. On alarm a sequence of CCTV images would be captured by a loop framestore system. A Targeted Automatic Verification Aid (TAVA) would then be used to decide if there was suspicious activity in the alarm sequence. Many false alarms have no visible cause, so a TAVA would filter these out. The false alarm rate would be lower than with a normal VMD as a TAVA would need to assess only alarm sequences. If there is no video or it is too foggy the TAVA would 'fail safe' by signalling the alarm from the non-video PIDS. A TAVA could use more sophisticated processing than a VMD and still be cheaper, because it could target the processing. PSDB is planning to collect alarm sequences from sites with a non-video PIDS and a loop framestore connected to the CCTV system. These sequences will be used to prove the concept and evaluate the performance of a TAVA.
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