Simplest representation yet for gait recognition: averaged silhouette
- 1 January 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4 (10514651) , 211-214 Vol.4
- https://doi.org/10.1109/icpr.2004.1333741
Abstract
We present a robust representation for gait recognition that is compact, easy to construct, and affords efficient matching. Instead of a time series based representation comprising of a sequence of raw silhouette frames or of features extracted therein, as has been the practice, we simply align and average the silhouettes over one gait cycle. We then base recognition on the Euclidean distance between these averaged silhouette representations. We show, using the recently formulated gait challenge problem (www.gaitchallenge.org), that the improvement in execution time is 30 times while possessing recognition power that is comparable to the gait baseline algorithm, which is becoming the comparison standard in gait recognition. Experiments with portions of the average silhouette representation show that recognition power is not entirely derived from upper body shape, rather the dynamics of the legs also contribute equally to recognition. However, this study does raise intriguing doubts about the need for accurate shape and dynamics representations for gait recognition.Keywords
This publication has 13 references indexed in Scilit:
- A hidden Markov model based framework for recognition of humans from gait sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Gait analysis for recognition and classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Motion-based recognition of people in EigenGait spacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A new attempt to gait-based human identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Silhouette-based human identification from body shape and gaitPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Gait Shape Estimation for IdentificationPublished by Springer Nature ,2003
- Real-time recognition of activity using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Statistical gait description via temporal momentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Multi-view Method for Gait Recognition Using Static Body ParametersPublished by Springer Nature ,2001
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000