Frame-rate omnidirectional surveillance and tracking of camouflaged and occluded targets

Terrance E. Boult, R. Micheals, X. Gao, P. Lewis, C. Power, Weihong Yin, A. Erkan
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引用次数: 134

Abstract

Video surveillance involves watching an area for significant events. Perimeter security generally requires watching areas that afford trespassers reasonable cover and concealment. By definition, such "interesting" areas have limited visibility. Furthermore, targets of interest generally attempt to conceal themselves within the cover sometimes adding camouflage to further reduce their visibility. Such targets are only visible "while in motion". The combined result of limited visibility distance and target visibility severely reduces the usefulness of any panning-based approach. As a result, these situations call for a wide field of view, and are a natural application for omni-directional VSAM (video surveillance and monitoring). This paper describes an omni-directional tracking system. After motivating its use, we discuss some domain application constraints and background on the paracamera. We then go through the basic components of the frame-rate Lehigh Omni-directional Tracking System (LOTS) and describe some of its unique features. In particular, the system's combined performance depends on novel adaptive multi-background modeling and a novel quasi-connected-components technique. These key components are described in some detail, while other components are summarized. We end with a summary of an external evaluation of the system.
伪装和遮挡目标的帧率全向监视和跟踪
视频监控包括监视一个地区的重大事件。外围安全通常要求监视那些为非法侵入者提供合理掩护和隐蔽的区域。根据定义,这种“有趣”的区域能见度有限。此外,感兴趣的目标通常会试图隐藏在掩体中,有时会增加伪装来进一步降低他们的能见度。这样的目标只有在“运动中”才能看到。有限的可见距离和目标可见性的综合结果严重降低了任何基于平移的方法的有效性。因此,这些情况需要广阔的视场,是全方位视频监控(VSAM)的自然应用。本文介绍了一种全向跟踪系统。在介绍了它的用途之后,我们讨论了它的一些领域应用限制和背景。然后,我们通过帧率利哈伊全方位跟踪系统(LOTS)的基本组成部分,并描述其一些独特的功能。特别地,系统的综合性能依赖于一种新的自适应多背景建模和一种新的准连接组件技术。详细描述了这些关键组件,同时总结了其他组件。最后,我们对系统的外部评估进行总结。
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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