An Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification

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dc.contributor.advisorShah, Shishir Kirit
dc.contributor.committeeMemberGabriel, Edgar
dc.contributor.committeeMemberMerchant, Fatima Aziz
dc.creatorCao, Can 1991-
dc.creator.orcid0000-0002-4445-2186
dc.date.accessioned2019-11-17T21:09:50Z
dc.date.available2019-11-17T21:09:50Z
dc.date.createdDecember 2016
dc.date.issued2016-12
dc.date.submittedDecember 2016
dc.date.updated2019-11-17T21:09:50Z
dc.description.abstractPerson re-identification is an essential task of recognizing and matching people from non-overlapping cameras. A typical application of person re-identification is identifying a particular person in a gallery of pedestrian images from a camera with one or more given probe images of this person from another camera. This is a chal- lenging and practical task that provides solutions for video-surveillance. In this work, we present a person re-identification software which is called Interactive Pedestrian Re-identification GUI (IPRG), and a semantic-based labelling tool named Reid It (Reidit). According to the growing need for surveillance applications, we develop IPRG to address the person searching and matching problem with the dataset from on-campus security camera videos. From these video frames, we can get semantic in- formation of the candidate such as height, ethnicity, cloth color, etc. By customizing these semantic features in IPRG, we can identify a candidate in the video database rapidly. We also propose a light-labelling tool, Reidit, for labelling pedestrian images with semantic features as the pre-processing for pedestrian recognition. We present an experiment on IPRG with Viewpoint Invariant Pedestrian Recognition (VIPeR) dataset which contains 632 identities. Our experiment shows that our software is more efficient and accurate compared with traditional manual solutions. Moreover, IPRG can handle the situation of missing query person in the database, and it will return the top ten possible individuals. Our software is compatible with different platforms and user-friendly with customizable databases and semantic features.
dc.description.departmentComputer Science, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/5431
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectPerson re-identification
dc.subjectSemantic
dc.titleAn Interactive Pedestrian Re-Identification Tool with Semantic Based Re-Identification
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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