Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


case1307548707.pdf (1.72 MB)

ETD Abstract Container

Abstract Header

Low-Cost, Real-Time Face Detection, Tracking and Recognition for Human-Robot Interactions

Zhang, Yan
http://rave.ohiolink.edu/etdc/view?acc_num=case1307548707

Abstract Details

2011, Master of Sciences (Engineering), Case Western Reserve University, EMC - Mechanical Engineering.
This dissertation presents various vision-based algorithms for human-robot interactive applications, such as sociable robots. Our vision-based methodologies include accelerated AdaBoost classifier based face detection, self-learning face tracking and adptive PCA-based facial recognition. By using a resizing technique and skin tone filter, we only apply the AdaBoost classifier to a small region and thus, compared to applying it to the whole image, require much less processing time. In order to track a detected face precisely and efficiently while also recognizing the detected face, a hybrid face tracking approach is applied based on an adaptive skin color mode and a potential window. A novel adaptive face recognition method is implemented by automatically upgrading the set of sample faces of a “known” person and collecting information of “unknown” people for enhanced recognition performance. Some additional effort has been made on speech recognition system, voice system and behavior system. These algorithms are well suited for embedded systems because of their cost and time efficiency and little pre-training required for reliable performance. All of the above algorithms have been tested on a sociable robot named “Philos” developed in the Distributed Intelligence and Robotics Laboratory at Case Western Reserve University.
Kiju Lee, PhD (Advisor)
Roger Quinn, PhD (Committee Member)
Cenk Cavusoglu, PhD (Committee Member)
81 p.
Computer Science; Mechanical Engineering
face recognition; human-robot interaction; sociable robot

Recommended Citations

Citations

  • Zhang, Y. (2011). Low-Cost, Real-Time Face Detection, Tracking and Recognition for Human-Robot Interactions [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1307548707

    APA Style (7th edition)

  • Zhang, Yan. Low-Cost, Real-Time Face Detection, Tracking and Recognition for Human-Robot Interactions. 2011. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1307548707.

    MLA Style (8th edition)

  • Zhang, Yan. "Low-Cost, Real-Time Face Detection, Tracking and Recognition for Human-Robot Interactions." Master's thesis, Case Western Reserve University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1307548707

    Chicago Manual of Style (17th edition)

case1307548707
7,796
© 2011, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.