Date of Award

1-1-2021

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Computer Science

Content Description

1 online resource (xi, 122 pages) : color illustrations.

Dissertation/Thesis Chair

Ming-Ching MC Chang

Committee Members

Siwei SL Lyu, Yiming YY Ying, Pradeep PA Atrey

Keywords

Crowd Counting, Graph Model, Multi-object Tracking, Single Object Tracking, Image processing, Computer vision, Optical detectors, Hypergraphs, Neural networks (Computer science), Machine learning

Subject Categories

Artificial Intelligence and Robotics | Computer Sciences

Abstract

As important problems in computer vision, object tracking and counting attract increasing amounts of attention in recent years due to its wide range of applications, such as video surveillance, human- computer interaction, smart city. Despite much progress has been made in object tracking and counting with the arriving of deep neural networks (DNN), there still remains much room for improvement to satisfy the real-world applications.

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