A new attempt to gait-based human identification
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10514651) , 115-118
- https://doi.org/10.1109/icpr.2002.1044626
Abstract
The authors propose a simple but efficient approach to gait recognition. For each image sequence, an improved background subtraction procedure is first used to accurately extract spatial silhouettes of a walker from the background. Then, an eigenspace transformation to time-varying silhouette shapes is performed to realize feature extraction. The nearest neighbor classifier using spatio-temporal correlation or the normalized Euclidean distance measure is finally utilized in the lower-dimensional eigenspace for recognition, and some additional personalized physical properties are selected for the validation of final decision Experimental results on a small database show that the proposed algorithm has an encouraging recognition rate with relatively lower computational cost.Keywords
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