Unobtrusive multimodal biometric authentication: the HUMABIO project concept
EURASIP Journal on Advances in Signal Processing
A channel coding approach for human authentication from gait sequences
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Biometric Gait Recognition with Carrying and Clothing Variants
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Gait recognition based on time-frequency analysis
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Biometric template protection in multimodal authentication systems based on error correcting codes
Journal of Computer Security - EU-Funded ICT Research on Trust and Security
Event-based unobtrusive authentication using multi-view image sequences
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Gait-based human age estimation
IEEE Transactions on Information Forensics and Security
Pattern Recognition Letters
Gait recognition based on shape and motion analysis of silhouette contours
Computer Vision and Image Understanding
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This paper proposes an innovative gait identification and authentication method based on the use of novel 2-D and 3-D features. Depth-related data are assigned to the binary image silhouette sequences using two new transforms: the 3-D radial silhouette distribution transform and the 3-D geodesic silhouette distribution transform. Furthermore, the use of a genetic algorithm is presented for fusing information from different feature extractors. Specifically, three new feature extraction techniques are proposed: the two of them are based on the generalized radon transform, namely the radial integration transform and the circular integration transform, and the third is based on the weighted Krawtchouk moments. Extensive experiments carried out on USF ldquoGait Challengerdquo and proprietary HUMABIO gait database demonstrate the validity of the proposed scheme.