Doctoral Dissertations

Title

Moving object detection and tracking for event-based video analysis

Abstract

"There is a growing interest in the computer vision community towards video understanding, in particular towards visual event recognition...This dissertation surveys different taxonomies of motion understanding problems, identifies the major components in an automated visual event recognition system, and presents the challenges and the significant studies in moving object detection, shadow elimination, and object tracking. Novel schemes for shadow detection and object tracking are proposed and implemented. The proposed shadow detection scheme does not rely on models of scene or objects, which makes it robust for a variety of outdoor surveillance applications, and also successfully eliminates problems due to illumination changes that are common in outdoor sequences. The proposed schemes for object tracking address the problem of correspondence in the presence of multiple moving objects and occlusions in the scene, and involve multi-hypothesis decision making and color appearance models"--Abstract, leaf iii.

Department(s)

Computer Science

Degree Name

Ph. D. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

Fall 2005

Pagination

xi, 117 leaves

Note about bibliography

Includes bibliographical references (leaves 106-116).

Rights

© 2005 Filiz Bunyak, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Electronic surveillance
Shades and shadows
Image processing -- Analysis -- Technique
Imaging systems
Pattern recognition systems -- Design
Video recordings -- Equipment and supplies
Computer vision

Thesis Number

T 8840

Print OCLC #

74906218

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5707819~S5

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