| Paper: | IMDSP-L8.2 | ||
| Session: | Biometrics | ||
| Time: | Thursday, May 18, 14:20 - 14:40 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Biometrics | ||
| Title: | FRONTAL VIEW-BASED GAIT IDENTIFICATION USING LARGEST LYAPUNOV EXPONENTS | ||
| Authors: | Tracey Lee, Singapore Polytechnic, Singapore; Surendra Ranganath, National University of Singapore, Singapore; Saeid Sanei, Cardiff University, United Kingdom | ||
| Abstract: | This paper features two novel approaches to gait recognition; one is frontal motion analysis, using a single camera. This allows the use of other biometrics easily. Second is analysing gait using of nonlinear dynamics of time series, normally used in chaos theory, for classification. A set of point light sources attached to various points of a walking person allows the walker to be identified. Phase space analysis of trajectories of these Moving Light Displays (MLDs) provides sufficient information for identification of people by their gait. Using chaotic measures to identify humans by their gait sets a significant precedent. | ||
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