dc.contributor.advisor | Han, Xu (Tony Xu) | eng |
dc.contributor.author | Shaaya, Ghadeer | eng |
dc.date.issued | 2012 | eng |
dc.date.submitted | 2012 Fall | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on March 8, 2013). | eng |
dc.description | The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. | eng |
dc.description | Thesis advisor: Dr. Tony Han | eng |
dc.description | Includes bibliographical references. | eng |
dc.description | M.S. University of Missouri--Columbia 2012. | eng |
dc.description | "December 2012" | eng |
dc.description.abstract | In this research, we present an appearance based method for people re-identification. It consists in the extraction of two types of features related to human appearance, color histograms and SIFT features. Images are captured from surveillance videos. For every image, the two types of features are combined to create a two dimensional signature that represents the contained individual. The goal is to make this signature as distinctive as possible. The signatures are arranged into pairs to form positive examples (two images of the same individual) and negative examples (two images of two different individuals). Pairs are fed to a machine learning algorithm. The algorithm is trained to find the most discriminative model. AdaBoost is what we used to perform this task. The algorithm presented in this thesis has been tested on several datasets (ViPER, CAVIAR, 3DPes). | eng |
dc.format.extent | viii, 60 pages | eng |
dc.identifier.uri | http://hdl.handle.net/10355/33163 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject | human appearance | eng |
dc.subject | video surveillance | eng |
dc.subject | re-identification | eng |
dc.title | People re-identification in a camera network | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Computer engineering (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.S. | eng |