Title page for etd-0717109-174103


[Back to Results | New Search]

URN etd-0717109-174103
Author Chia-wei Lin
Author's Email Address ijk@aol.tw
Statistics This thesis had been viewed 5564 times. Download 2779 times.
Department Mechanical and Electro-Mechanical Engineering
Year 2008
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Application of Mean Shift to Real-Time Visual Tracking for a Deformable Object
Date of Defense 2009-07-03
Page Count 70
Keyword
  • deformed object
  • visual servo
  • mean shift
  • real-time
  • Abstract This thesis presents a robust real-time active tracking system with a pan-tilt camera. The proposed visual servo framework is able to track a deformed object and maintain the target always inside the field of view. For the image processing, an efficient template matching and searching method using the mean-shift theory is developed. The robustness is achieved by appending the ratio histogram, a kernel function, and the template update to the framework when the target is deformed. Then the pan-tilt unit turns towards the target and keeps the target inside the field of view of the camera by feeding back the position information to a Kalman filter.
    Experimental results show that the presented scheme works successfully when the target is vague or concealed or deformed. The visual tracking task can also be accomplished even when a similar object crosses over the target. In addition, the refreshing rate can be up to 60 frames per second.
    Advisory Committee
  • Her, Innchyn - chair
  • Chau-Chang Wang - co-chair
  • Hsin-Hung Chen - co-chair
  • Cheng, Chi-Cheng - advisor
  • Files
  • etd-0717109-174103.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2009-07-17

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys