Earticle

초록

영어

In this paper, we propose a 2D feature tracking method that is stable to long video sequences. To improve the stability of long track-ing, we use trajectory information about 2D features. We predict the expected feature states and compute a rough estimate of the feature lo-cation on the current image frame using the history of previous feature states up to the current frame. A search window is positioned at the esti-mated location and similarity measures are computed within the search window. Once the feature position is determined from the similarity mea-sures, the current feature states are appended to the history bu®er. The outlier rejection stage is also introduced to reduce false matches. Ex-perimental results from real video sequences showed that the proposed method stably tracks point features for long frame sequences.

목차

Abstract.
 1 Introduction
 2 Improving the Accuracy of Feature Tracking
  2.1 Feature extraction
  2.2 State modeling for feature tracking
  2.3 Rejection of outliers
  2.4 Tracking feature points
 3 Experimental Results
 4 Conclusion
 References

저자

• Jong-Seung Par [ Department of Computer Science & Engineering, University of Incheon ]
• Jong-Hyun Yoon [ Department of Computer Science & Engineering, University of Incheon ]
• Chungkyue Kim [ Department of Computer Science & Engineering, University of Incheon ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605