Geo-spatial active visual surveillance on wireless networks

T. Boult
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引用次数: 11

Abstract

This paper reviews some of the history of automated visual surveillance, from the second and third generation VMD days of the early 1990s, to the current state of the art. It discusses the inherent limitations that resulted in a nearly negligible "increase" in performance throughout the 1990s and still exist in commercially available systems. Then we review an approach that overcomes these limitations-active visual surveillance with geo-spatial rules. Active visual surveillance uses data from computer controlled Pan/Tilt/Zoom (PTZ) units combined with state of the art video detection and tracking to provide active assessment of potential targets in a cost effective manner. This active assessment allows an increase in the number of pixels on target and provides a secondary viewpoint for data fusion, while still allowing coverage of a very large surveillance area. This active approach and multi-sensor fusion, not a new concept, was developed as part of the DARPA Video Surveillance and Monitoring (VSAM) program in the late 90's. While we have continued to expand upon it since that time, there has been no commercial video surveillance, before Guardian Solutions, that provided these important abilities. The core ideas in this paper address limitations of the original VSAM designs, briefly introducing our enhancements including geo-spatial rules for wide area multi-sensor fusion, and key design issues to allow us to support wireless networks.
无线网络上的地理空间主动视觉监视
本文回顾了自动视觉监控的一些历史,从20世纪90年代初的第二代和第三代VMD时代,到目前的艺术状态。它讨论了在整个20世纪90年代导致性能几乎可以忽略不计的“增长”的固有限制,并且仍然存在于商用系统中。然后,我们回顾了一种克服这些限制的方法-基于地理空间规则的主动视觉监视。主动视觉监视使用来自计算机控制的平移/倾斜/变焦(PTZ)单元的数据,结合最先进的视频检测和跟踪,以经济有效的方式提供对潜在目标的主动评估。这种主动评估允许增加目标上的像素数量,并为数据融合提供次要视点,同时仍然允许覆盖非常大的监视区域。这种主动方法和多传感器融合并不是一个新概念,是在90年代后期作为DARPA视频监视和监控(VSAM)计划的一部分而开发的。虽然我们从那时起就继续扩展它,但在Guardian Solutions之前,还没有商业视频监控提供这些重要的功能。本文的核心思想解决了原始VSAM设计的局限性,简要介绍了我们的改进,包括广域多传感器融合的地理空间规则,以及允许我们支持无线网络的关键设计问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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