Date of Graduation
2016
Document Type
Dissertation
Degree Type
PhD
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Vinod K Kulathumani
Committee Co-Chair
Thirimachos Bourlai
Committee Member
Yaser Fallah
Committee Member
Vladislav Kecojevic
Committee Member
Hong-Jian Lai
Committee Member
Yanfang Ye
Abstract
Real-time automatic activity recognition is an important area of research in the field of Computer Vision with plenty of applications in surveillance, gaming, entertainment and automobile safety. Because of advances in wireless networks and camera technologies, distributed camera networks are becoming more prominent. Distributed camera networks offer complimentary views of scenes and hence are better suited for real-time surveillance applications. They are robust to camera failures and in-complete field of views.;In a camera network, fusing information from multiple cameras is an important problem, especially when one doesn't have knowledge of subjects orientation with respect to the camera and when arrangement of cameras is not symmetric. The objective of this dissertation is to design a information fusion technique for camera networks and to apply them in the contenxt of surveillance and safety applications (in coal-mines). (Abstract shortened by ProQuest.).
Recommended Citation
Kavi, Rahul Ratnakar, "Fusion techniques for activity recognition using multi-camera networks" (2016). Graduate Theses, Dissertations, and Problem Reports. 5946.
https://researchrepository.wvu.edu/etd/5946