Date of Award
8-1-2021
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Computer Science
Content Description
1 online resource (xi, 92 pages) : color illustrations.
Dissertation/Thesis Chair
Ming-Ching Chang
Committee Members
Siwei Lyu, Yiming Ying, Shaghayegh Sahebi
Keywords
Activity recognition, Concurrent activity detection, Group activity recognition, Video understanding, Neural networks (Computer science), Computer vision, Image processing, Optical pattern recognition, Pattern recognition systems
Subject Categories
Computer Sciences
Abstract
Human activity understanding, as one of the most important task in video analysis, has been studied for decades. Great efforts have been made to push the activity recognition models towards effective and efficient representation learning. However, it is difficult to define an explicit semantic organization of activities, even for human. Current activity recognition benchmarks only organize the activity labels with shallow hierarchies, which hinders the development of activity recognition system.
Recommended Citation
Wei, Yi, "Understanding complex human activities in videos : the study of concurrent activity detection and group activity recognition" (2021). Legacy Theses & Dissertations (2009 - 2024). 2829.
https://scholarsarchive.library.albany.edu/legacy-etd/2829