Paper
7 May 2012 Fusion of footsteps and face biometrics on an unsupervised and uncontrolled environment
Author Affiliations +
Abstract
This paper reports for the first time experiments on the fusion of footsteps and face on an unsupervised and not controlled environment for person authentication. Footstep recognition is a relatively new biometric based on signals extracted from people walking over floor sensors. The idea of the fusion between footsteps and face starts from the premise that in an area where footstep sensors are installed it is very simple to place a camera to capture also the face of the person that walks over the sensors. This setup may find application in scenarios like ambient assisted living, smart homes, eldercare, or security access. The paper reports a comparative assessment of both biometrics using the same database and experimental protocols. In the experimental work we consider two different applications: smart homes (small group of users with a large set of training data) and security access (larger group of users with a small set of training data) obtaining results of 0.9% and 5.8% EER respectively for the fusion of both modalities. This is a significant performance improvement compared with the results obtained by the individual systems.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruben Vera-Rodriguez, Pedro Tome, Julian Fierrez, and Javier Ortega-Garcia "Fusion of footsteps and face biometrics on an unsupervised and uncontrolled environment", Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83711U (7 May 2012); https://doi.org/10.1117/12.918550
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Biometrics

Sensors

Image fusion

Computer security

Cameras

Databases

Facial recognition systems

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