Moving object detection and tracking for event-based video analysis
"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.
Ph. D. in Computer Science
University of Missouri--Rolla
xi, 117 leaves
© 2005 Filiz Bunyak, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Shades and shadows
Image processing -- Analysis -- Technique
Pattern recognition systems -- Design
Video recordings -- Equipment and supplies
Print OCLC #
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
Bunyak, Filiz, "Moving object detection and tracking for event-based video analysis" (2005). Doctoral Dissertations. 1642.
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