Gabor-LBP Based Region Covariance Descriptor for Person Re-identification
- 1 August 2011
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 368-371
- https://doi.org/10.1109/icig.2011.40
Abstract
Person re-identification is an important problem in computer vision, which involves matching appearance of individuals between non-overlapping camera views. In this paper we present a novel appearance-based method for person re-identification problem. Color feature, Gabor, local binary pattern (LBP) are utilized to form a covariance descriptor to handle the difficulties such as varying illumination, viewpoint angle and non-rigid body, then distances of these features are computed to match these individuals. Experimental results over the challenging dataset VIPeR demonstrate that our method obtains competitive performance.Keywords
This publication has 10 references indexed in Scilit:
- Person re-identification by symmetry-driven accumulation of local featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Gabor-Based Region Covariance Matrices for Face RecognitionIEEE Transactions on Circuits and Systems for Video Technology, 2008
- Pedestrian Detection via Classification on Riemannian ManifoldsIeee Transactions On Pattern Analysis and Machine Intelligence, 2008
- Multi-camera Matching using Bi-Directional Cumulative Brightness Transfer FunctionsPublished by British Machine Vision Association and Society for Pattern Recognition ,2008
- Tracking people across disjoint camera views by an illumination-tolerant appearance representationMachine Vision and Applications, 2007
- Face Description with Local Binary Patterns: Application to Face RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- Log‐Euclidean metrics for fast and simple calculus on diffusion tensorsMagnetic Resonance in Medicine, 2006
- Person Reidentification Using Spatiotemporal AppearancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Bridging the gaps between camerasPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Tracking across multiple cameras with disjoint viewsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003