利用静止-动态摄像机组件进行广域视频监控和选择性注意

Ankur Jain, Dan Koppel, Kyle Kakligian, Yuan-fang Wang
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引用次数: 45

摘要

在本文中,我们提出了一个原型视频监控系统,它使用静止-动态(或主从)摄像机组件来实现广域监控和选择性关注焦点。我们解决了在实际应用中部署此类相机组件的两个关键问题:离线相机校准和在线选择焦点。我们对现有技术的贡献是双重的:(1)在相机校准方面,我们的技术校准固定和动态相机的所有自由度(dof),使用既高效又准确的封闭形式解决方案;(2)在选择性焦点方面,我们的技术正确处理场景中的动态变化和不同的物体深度。这是对现有技术的重大改进,现有技术使用昂贵且不适应的表查找过程。
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Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective focus-of-attention. We address two critical issues in deploying such camera assemblies in real-world applications: off-line camera calibration and on-line selective focus-ofattention. Our contributions over existing techniques are twofold: (1) in terms of camera calibration, our technique calibrates all degrees-of-freedom (DOFs) of both stationary and dynamic cameras, using a closed-form solution that is both efficient and accurate, and (2) in terms of selective focus-of-attention, our technique correctly handles dynamic changes in the scene and varying object depths. This is a significant improvement over existing techniques that use an expensive and non-adaptable table-look-up process.
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