废弃目标检测视频系统对环境影响的免疫估计

V. Baliar, O. Mazurkiewicz, Artem Hryshchenko
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引用次数: 0

摘要

本文分析了环境条件和不同场景对典型视频监控摄像机实现弃物检测特征的算法鲁棒性的影响。目前的研究判断算法的鲁棒性,也可以与系统免疫力有关,作为正确检测到的事件占所有实现事件的百分比。本研究采用典型的网络摄像机进行,并通过仿真该系统的MATLAB模型与相同的研究进行对比,比较真实网络摄像机的免疫精度与数学模型的免疫精度。所得结果可用于IP视频跟踪的技术维护和服务实现,以及旨在提高此类系统鲁棒性的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Immunity Estimation of Abandoned Object Detection Video System to Environmental Impact
This article is devoted to the analysis both the environmental condition influences and different live scenarios of scene on the algorithm robustness of typical video surveillance camera which implement the abandoned object detection feature. Present study judge algorithm robustness, which also can be related to system immunity, as a percentage of correctly detected events over all implemented events. The study was carried out with the use of typical IP camera and doubled with the same studies by simulated MATLAB model of such a system to compare the immunity of real IP camera accuracy over math model. The obtained results can be used during the technical maintenance and service implementations for IP video tracking, as well as during further research aimed at increasing the robustness of such a systems.
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