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Application of speed enhanced spatial domain correlation filters for real-time security monitoring

机译:速度增强型空间域相关滤波器在实时安全监控中的应用

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摘要

A speed enhanced space variant correlation filer which has been designed to be invariant to change in orientation and scale of the target object but also to be spatially variant, i.e. the filter function becoming dependant on local clutter conditions within the image. The speed enhancement of the filter is due to the use of optimization techniques employing low-pass filtering to restrict kernel movement to be within regions of interest. The detection and subsequent identification capability of the two-stage process has been evaluated in highly cluttered backgrounds using both visible and thermal imagery acquired from civil and defense domains along with associated training data sets for target detection and classification. In this paper a series of tests have been conducted in multiple scenarios relating to situations that pose a security threat. Performance matrices comprised of peak-to-correlation energy (PCE) and peak-to-side lobe ratio (PSR) measurements of the correlation output have been calculated to allow the definition of a recognition criterion. The hardware implementation of the system has been discussed in terms of Field Programmable Gate Array (FPGA) chipsets with implementation bottle necks and their solution being considered.
机译:一种速度增强的空间变异相关滤波器,其被设计为不变以改变目标物体的方向和比例,但也可以是空间变异的,即滤波器功能取决于图像内的局部杂波条件。滤波器速度的提高是由于使用了优化技术,该技术采用了低通滤波将内核移动限制在目标区域内。已经在高度混乱的背景下使用从民用和国防领域获得的可见光图像和热图像以及用于目标检测和分类的相关训练数据集,对两阶段过程的检测和后续识别能力进行了评估。本文在涉及安全威胁情况的多种情况下进行了一系列测试。计算出了由相关输出的峰相关能量(PCE)和峰旁瓣比(PSR)测量组成的性能矩阵,以定义识别标准。已经根据现场可编程门阵列(FPGA)芯片组讨论了系统的硬件实现,并考虑了实现瓶颈及其解决方案。

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