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Analyst-trainable fusion algorithms for surveillance a

机译:分析人员可训练的监控融合算法

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Abstract: The Toolkit for Image Mining (TIM) is a prototype software environment that enables users with no knowledge of image processing and machine learning to interactively create image search and image analysis tools. TIM is being used as a testbed for the study of issues related to data fusion and on-the-fly training in the context of target recognition in DARPA's Semi-Automated IMINT Processing system. Experiments done in this environment suggest that on-the-fly training is technically feasible, need not pose an extra burden on image analysts, and can increase the flexibility and adaptability of surveillance algorithms.!10
机译:摘要:图像挖掘工具包(TIM)是一个原型软件环境,它使不了解图像处理和机器学习知识的用户可以交互地创建图像搜索和图像分析工具。在DARPA的半自动IMINT处理系统中,在目标识别的背景下,TIM被用作研究与数据融合和动态训练有关的问题的试验台。在这种环境下进行的实验表明,动态训练在技术上是可行的,不需要给图像分析人员带来额外的负担,并且可以提高监视算法的灵活性和适应性。10

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