Two-dimensional signal and image processing
Two-dimensional signal and image processing
Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
EigenGait: Motion-Based Recognition of People Using Image Self-Similarity
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Baseline Results for the Challenge Problem of Human ID Using Gait Analysis
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Gait Analysis for Recognition and Classification
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Towards a View Invariant Gait Recognition Algorithm
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Curve spreads: a biometric from front-view gait video
Pattern Recognition Letters
Target Classification and Pattern Recognition Using Micro-Doppler Radar Signatures
SNPD-SAWN '06 Proceedings of the Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Design of multiple frequency continuous wave radar hardware and micro-doppler based detection and classification algorithms
Human perambulation as a self calibrating biometric
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Automatic gait recognition based on statistical shape analysis
IEEE Transactions on Image Processing
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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.