Motion-Based Recognition of People in EigenGait Space
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Automatic gait recognition using area-based metrics
Pattern Recognition Letters
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Analysis for Human Identification in Frequency Domain
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Individual Recognition Using Gait Energy Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gait Recognition Using Radon Transform and Linear Discriminant Analysis
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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There has been increased concern about security during the past few years. Researchers are looking into developing new tools for security enhancement and this has brought biometrics into the limelight. The analysis of human gait as a biometric is relatively newer compared to finger prints, face or iris. This paper presents a new gait feature based on the wavelet analysis of the cyclic gait motion. The proposed feature has low complexity in comparison to the existing techniques and compares well in terms of performance. The new appearance based features are extracted from the silhouettes. The appearance based techniques are generally very sensitive to the quality of the silhouettes. It is observed that the proposed gait recognition technique works better than the current bench mark in case of noisy silhouettes.