Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance
Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance
复制标题
评估 MJPEG 压缩对地铁监控中运动跟踪的影响
DOI：
10.1007/978-3-642-33140-4_13
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Concetta Pragliola
中科院分区：
文献类型：
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作者：
A. Cozzolino;Francesco Flammini;Valentina Galli;M. Lamberti;G. Poggi;Concetta Pragliola
视频内容分析正越来越多地被用于公共交通系统的安全监控。摄像机数量的不断增加，传统网络的存在，无线链路带宽的有限，这些问题都突显了根据不同级别的视频压缩来评估运动跟踪性能的重要性。在本文中，我们报告了这样的评估结果，考虑了应用于安装在真实地铁环境中的摄像头拍摄的视频的假阴性和假阳性度量。评估方法基于对选定视频在不断增长的MJPEG压缩级别下手动生成基本真相，并将其与运动跟踪器自动生成的算法结果进行比较。参考性能指标的计算由在MatLab中开发的工具自动完成。讨论了误检的主要原因，并为进一步的工业应用提供了提示。
Video content analytics is being increasingly employed for the security surveillance of mass-transit systems. The growing number of cameras, the presence of legacy networks, the limited bandwidth of wireless links, are some of the issues which highlight the importance of evaluating the performance of motion tracking against different levels of video compression. In this paper, we report the results of such an evaluation considering false-negative and false-positive metrics applied to videos captured from cameras installed in a real metro-railway environment. The evaluation methodology is based on the manual generation of the Ground Truth on selected videos at growing levels of MJPEG compression, and on its comparison with the Algorithm Result automatically generated by the Motion Tracker. The computation of reference performance metrics is automated by a tool developed in Matlab. Results are discussed with respect to the main causes of false detections, and hints are provided for further industrial applications.