Username: Password:
Menu 
VPA
Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Research
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
  VPA Lab Inventory
  Databases in VPALAB
  Recordings
Calendar
<<September 2017>>
Mo Tu We Th Fr Sa Su
1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30
Upcoming Events:
None



Different Approaches on the Implementation of Implicit Polynomials in Visual Tracking




Project Team
  • Burak Yöndem
  • Mustafa Ünel
  • Aytul Ercil

ContactBurak Yondem Send e-mail
Project Description
In this work, we are interested in tracking a free-form object whose boundary can be described by a planar algebraic curve. We use a unique decomposition of algebraic curves to obtain feature points for position and orientation tracking. Decomposition represents such curves as a unique some of products of (possibly) complex lines. The real intersection points of these lines are so called "related-points", which map to one another under affine transformations. We propose to do fitting only for certain frames in an image sequence and fill in the missing ones using Kalman filtering technique. Kalman filter uses the "related points" extracted from the decomposition of implicit polynomials of target's boundary curves and measured position of target's centroid.

Home Back Make a Comment