Multi-signature based person re-identification
- 1 January 2012
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 48 (13), 765-767
- https://doi.org/10.1049/el.2012.1607
Abstract
A novel appearance-based method for person re-identification is proposed. The approach exploits three local features to extract the shape and the chromatic appearance of an individual. Robustness against low resolution images, viewpoint and illumination changes, occlusions and pose variations is achieved by a novel signature. A body part division is used to propose a novel distance measure. The method has been compared to state-of-the-art methods using a re-identification benchmark dataset. Results show that the proposed solution outperforms state-of-the-art methods used for comparison.Keywords
This publication has 4 references indexed in Scilit:
- Appearance-based person reidentification in camera networks: problem overview and current approachesJournal of Ambient Intelligence and Humanized Computing, 2011
- Video Analysis in Pan-Tilt-Zoom Camera NetworksIEEE Signal Processing Magazine, 2010
- Person re-identification by symmetry-driven accumulation of local featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Intelligent Monitoring of Complex EnvironmentsIEEE Intelligent Systems, 2010