STK Feature Tracking Using BMA for Fast Feature Displacement Convergence

빠른 피쳐변위수렴을 위한 BMA을 이용한 STK 피쳐 추적

  • Jin, Kyung-Chan (Department of Electronic Engineering, Kyungpook National University) ;
  • Cho, Jin-Ho (School of Electronic & Electrical Engineering, Kyungpook National University)
  • 진경찬 (慶北大學敎 電子工學科) ;
  • 조진호 (慶北大學敎 電子電氣工學部)
  • Published : 1999.08.01


In general, feature detection and tracking algorithms is classified by EBGM using Garbor-jet, NNC-R and STK algorithm using pixel eigenvalue. In those algorithms, EBGM and NCC-R detect features with feature model, but STK algorithm has a characteristics of an automatic feature selection. In this paper, to solve the initial problem of NR tracking in STK algorithm, we detected features using STK algorithm in modelled feature region and tracked features with NR method. In tracking, to improve the tracking accuracy for features by NR method, we proposed BMA-NR method. We evaluated that BMA-NR method was superior to NBMA-NR in that feature tracking accuracy, since BMA-NR method was able to solve the local minimum problem due to search window size of NR.