Gait Recognition Using Radon Transform and Linear Discriminant Analysis
- 12 February 2007
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 16 (3) , 731-740
- https://doi.org/10.1109/tip.2007.891157
Abstract
A new feature extraction process is proposed for gait representation and recognition. The new system is based on the Radon transform of binary silhouettes. For each gait sequence, the transformed silhouettes are used for the computation of a template. The set of all templates is subsequently subjected to linear discriminant analysis and subspace projection. In this manner, each gait sequence is described using a low-dimensional feature vector consisting of selected Radon template coefficients. Given a test feature vector, gait recognition and verification is achieved by appropriately comparing it to feature vectors in a reference gait database. By using the new system on the Gait Challenge database, very considerable improvements in recognition performance are seen in comparison to state-of-the-art methods for gait recognitionKeywords
This publication has 22 references indexed in Scilit:
- Gait recognition using linear time normalizationPattern Recognition, 2006
- Gait recognition using dynamic time warpingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Motion-based recognition of people in EigenGait spacePublished 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 Analysis for Human IdentificationPublished by Springer Nature ,2003
- Learning pedestrian models for silhouette refinementPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Face recognition using eigenfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A direct LDA algorithm for high-dimensional data — with application to face recognitionPublished by Elsevier ,2001
- The recognition of human movement using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000