Moving object detection and tracking for event-based video analysis

Author

Filiz Bunyak, Missouri University of Science and Technology

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, page iii.

Department(s)

Computer Science

Degree Name

Ph. D. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

Fall 2005

Pagination

xi, 117 pages

Note about bibliography

Includes bibliographical references (pages 106-116).

Rights

© 2005 Filiz Bunyak, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Electronic surveillanceShades and shadowsImage processing -- Analysis -- TechniqueImaging systemsPattern recognition systems -- DesignVideo recordings -- Equipment and suppliesComputer vision

Thesis Number

T 8840

Print OCLC #

74906218

Recommended Citation

Bunyak, Filiz, "Moving object detection and tracking for event-based video analysis" (2005). Doctoral Dissertations. 1642.
https://scholarsmine.mst.edu/doctoral_dissertations/1642