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Evaluation of the VIVID confirmatory identification module

机译:评估VIVID确认识别模块

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摘要

The Defense Advanced Research Projects Agency (DARPA) Video Verification of Identity (VIVID) program has as its goal the development of the best video tracker ever. This goal is reached through a philosophy of on-the-fly target modeling and the use of three distinct modules: a multiple-target tracker, a confirmatory identification module, and a collateral damage avoidance/moving target detection module. Over the two years of VIVID Phase I, progress appraisal of the ATR-like confirmatory identification module was provided to DARPA by the Air Force Research Laboratory Comprehensive Performance Assessment of Sensor Exploitation (COMPASE) Center through regular evaluations. This document begins with an overview of the VIVID system and its approach to solving the multiple-target tracking problem. A survey of the data collected under VIVID auspices and their use in the evaluation are then described, along with the operating conditions relevant to confirmatory identification. Finally, the evaluation structure is presented in detail, including metrics, experiment design, experiment construction techniques, and support tools.
机译:国防高级研究计划局(DARPA)身份视频验证(VIVID)计划的目标是开发有史以来最好的视频跟踪器。通过动态目标建模和使用三个不同的模块:多目标跟踪器,确认性识别模块和避免附带损害/移动目标检测模块,可以实现这一目标。在VIVID第一阶段的两年中,空军研究实验室传感器开发综合性能评估(COMPASE)中心通过定期评估,向DARPA提供了类似ATR的确认识别模块的进度评估。本文档首先概述了VIVID系统及其解决多目标跟踪问题的方法。然后描述了对在VIVID主持下收集的数据的调查及其在评估中的用途,以及与确认性识别有关的操作条件。最后,详细介绍了评估结构,包括指标,实验设计,实验构建技术和支持工具。

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