Moving object detection and tracking for event-based video analysis

<p>"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.</p>

Name thesis:degree_name

Ph. D. in Computer Science

Grantor

University of Missouri--Rolla

Year dc:date.available

2016

Author dc:creator

• Bunyak, Filiz

• Computer Sciences

Repository record dc:identifier

https://scholarsmine.mst.edu/doctoral_dissertations/1642

OAI identifier oai:identifier

oai:scholarsmine.mst.edu:doctoral_dissertations-2644