用于远距离前视步态识别的雷达微多普勒

2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems Pub Date : 2009-09-28 DOI:10.1109/BTAS.2009.5339049

D. Tahmoush, J. Silvious

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引用次数: 118

摘要

我们试图理解人体运动产生的雷达微多普勒信号的提取，并将其用作生物识别。我们描述了用于检测和跟踪的微多普勒算法，并详细介绍了可以提取的步态特征。我们在室外低杂波背景下测量了多个人体受试者进行识别，发现在远距离和前视情况下，正确分类的概率可以超过80%。然而，微多普勒信号依赖于运动方向，我们讨论了减少运动方向影响的方法。这些雷达生物特征可以作为多主体场景中的识别特征。地面实况使用视频和GPS来验证雷达数据。

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Radar micro-doppler for long range front-view gait recognition

We seek to understand the extraction of radar micro-Doppler signals generated by human motions at long range and with a front-view to use them as a biometric. We describe micro-Doppler algorithms used for the detection and tracking, and detail the gait features that can be extracted. We have measurements of multiple human subjects in outdoor but low-clutter backgrounds for identification and find that at long range and front-view, the probability of correct classification can be over 80%. However, the micro-Doppler signals are dependent on the direction of motion, and we discuss methods to reduce the effect of the direction of motion. These radar biometric features can serve as identifying features in a scene with multiple subjects. Ground truth using video and GPS is used to validate the radar data.

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2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems

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