Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


thesis.pdf (39.86 MB)

ETD Abstract Container

Abstract Header

A Methodology for Extracting Human Bodies from Still Images

Tsitsoulis, Athanasios
http://rave.ohiolink.edu/etdc/view?acc_num=wright1389793781

Abstract Details

2013, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
Monitoring and surveillance of humans is one of the most prominent applications of today and it is expected to be part of many future aspects of our life, for safety reasons, assisted living and many others. Many efforts have been made towards automatic and robust solutions, but the general problem is very challenging and remains still open. In this PhD dissertation we examine the problem from many perspectives. First, we study the performance of a hardware architecture designed for large-scale surveillance systems. Then, we focus on the general problem of human activity recognition, present an extensive survey of methodologies that deal with this subject and propose a maturity metric to evaluate them. One of the numerous and most popular algorithms for image processing found in the field is image segmentation and we propose a blind metric to evaluate their results regarding the activity at local regions. Finally, we propose a fully automatic system for segmenting and extracting human bodies from challenging single images, which is the main contribution of the dissertation. Our methodology is a novel bottom-up approach relying mostly on anthropometric constraints and is facilitated by our research in the fields of face, skin and hands detection. Experimental results and comparison with state-of-the-art methodologies demonstrate the success of our approach.
Nikolaos Bourbakis, Ph.D. (Advisor)
Soon Chung, Ph.D. (Committee Member)
Yong Pei, Ph.D. (Committee Member)
Ioannis Hatziligeroudis, Ph.D. (Committee Member)
165 p.
Computer Engineering; Computer Science
image segmentation metric; human activity recognition; human body segmentation; monitoring and surveillance

Recommended Citations

Citations

  • Tsitsoulis, A. (2013). A Methodology for Extracting Human Bodies from Still Images [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1389793781

    APA Style (7th edition)

  • Tsitsoulis, Athanasios. A Methodology for Extracting Human Bodies from Still Images. 2013. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1389793781.

    MLA Style (8th edition)

  • Tsitsoulis, Athanasios. "A Methodology for Extracting Human Bodies from Still Images." Doctoral dissertation, Wright State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1389793781

    Chicago Manual of Style (17th edition)

wright1389793781
382
© 2013, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.