Tools for Advanced Video Metadata Modeling
| dc.contributor.advisor | Espy-Wilson, Carol Y. | en_US |
| dc.contributor.author | Kibey, Sameer Avinash | en_US |
| dc.contributor.department | Electrical Engineering | en_US |
| dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
| dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
| dc.date.accessioned | 2007-06-22T05:31:44Z | |
| dc.date.available | 2007-06-22T05:31:44Z | |
| dc.date.issued | 2007-02-20 | |
| dc.description.abstract | In this Thesis, we focus on problems in surveillance video analysis and propose advanced metadata modeling techniques to address them. First, we explore the problem of constructing a snapshot summary of people in a video sequence. We propose an algorithm based on the eigen-analysis of faces and present an evaluation of the method. Second, we present an algorithm to learn occlusion points in a scene using long observations of moving objects, provide an implementation and evaluate its performance. Third, to address the problem of availability and storage of surveillance videos, we propose a novel methodology to simulate video metadata. The technique is completely automated and can generate metadata for any scenario with minimal user interaction. Finally, a threat detection model using activity analysis and trajectory data of moving objects is proposed and implemented. The collection of tools presented in this Thesis provides a basis for higher level video analysis algorithms. | en_US |
| dc.format.extent | 8782378 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/6697 | |
| dc.language.iso | en_US | |
| dc.subject.pqcontrolled | Engineering, Electronics and Electrical | en_US |
| dc.title | Tools for Advanced Video Metadata Modeling | en_US |
| dc.type | Thesis | en_US |
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