人类和动物的远程检测

D. Tahmoush, J. Silvious
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引用次数: 45

摘要

探测人类并将其与自然动物区分开来是边境安全应用中的一个重要问题。尤其重要的是,对在偏远地区行走的人进行检测和分类,并以低成本和最少维护的方式在较长时间内发回检测结果。我们的模拟和测量工作相对成功,为改进我们的分析提供了定性指导,并为利用雷达微多普勒研究特征提供了一个合理的模型。本文介绍了人类和动物在多个角度和方向上的运动数据,以及可以从雷达数据中提取的特征,用于动物和人的分类。
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Remote detection of humans and animals
Detecting humans and distinguishing them from natural fauna is an important issue in border security applications. In particular, it is important to detect and classify people who are walking in remote locations and transmit back detections over extended periods at a low cost and with minimal maintenance. Our simulation and measurement work has been relatively successful in providing a qualitative guide to improving our analysis, and has produced a reasonable model for studying signatures using radar micro-Doppler. This paper presents data on humans and animals at multiple angles and directions of motion, as well as features that can be extracted from radar data for the classification as animal versus human.
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