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Feature Tracking

Our contributions are mainly concentrated around

  • Using the optical flow equation
  • Exploiting view-geometric constraints
  • Appearance representations

We use feature tracking as an input to 3D localization and 3D mapping problems. In this context precise 2D tracking is a key component in our papers.

Published Papers

  1. J. Jiang and A. Yilmaz. 2014. Persistent Feature Tracking Using Scene Geometry. Computer Vision and Image Understanding, Vol 120 p 141-156.
  2. R. Li, S. He, J. Jiang, B. Skopljak, A. Yilmaz, X. Meng, P. Tang, C. Oman, M. Banks and S. Kim. 2014. A Multi-sensor Integration Approach toward Astronaut Navigation for Landed Lunar Missions. Journal of Field Robotics, (31)2 p. 245-262.
  3. J. Lawver and A. Yilmaz. 2013. Robust Feature Tracking in Image Sequences Using View Geometric Constraints. ISPRS Workshop on Image Sequence Analysis. Antalya, Turkey. (November) (Best Paper Award)
  4. J. Jiang and A. Yilmaz, Good Features to Track: A View Geometric Approach, IEEE Workshop on Mobile Vision (in conjunction with ICCV). Barcelona, Spain, 2011
  5. A. Yilmaz, Kernel Based Object Tracking Using Asymmetric Kernels with Adaptive Scale and Orientation Selection, Machine Vision and Applications, Vol. 22. No. 2, pp. 255-268, 2011
  6. A. Yilmaz, Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection, IEEE Conf. on Computer Vision and Pattern Recognition, pp.1-6. Minneapolis, MN, 2007
  7. A. Yilmaz, O. Javed and M. Shah, Object Tracking: A Survey, ACM Journal of Computing Surveys, Vol. 38, No. 4, pp. 1-45, 2006
  8. A. Yilmaz, K. Shafique and M. Shah, Target Tracking in Airborne Forward Looking Infrared Imagery, Image and Vision Computing Journal, Vol. 21, No. 7, pp. 623-635, 2003

  9. A. Yilmaz, K. Shafique and M. Shah, Estimation of rigid and nonrigid motion using anatomical face model, International Conference on Pattern Recognition, pp. 377-380. Quebec, Canada, 2002

  10. A. Yilmaz, K. Shafique, N. Lobo, T. Olson and M. Shah, Target Tracking in FLIR Imagery Using Mean-Shift and Global Motion Compensation, IEEE Workshop on Computer Vision Beyond Visible Spectrum (CVBVS). Kauai, HI, 2001