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University of Illinois at Urbana-Champaign
Static and Dynamic Human Analysis in Images and Videos
Abstract
dc:descriptionThe dissertation encompasses studies on human face and body modeling, face detection and face recognition in images, tracking feature selection, human tracking in videos, human motion event classification in videos, and multimedia video retrievals. The key theme of this dissertation is the word search. We search for novel features for detection, recognition, tracking and motion events. We search for efficient ways to explore vast data space in multimodal and multimodel tracking and event detection scenarios. We also strive to find effective way to search for content-relevant material in large video databases.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Wang, Ruoyu Roy
- Contributors dc:contributor
-
- Thomas Huang
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3070470
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/80806