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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.
- J. Jiang and A. Yilmaz. 2014. Persistent Feature Tracking Using Scene Geometry. Computer Vision and Image Understanding, Vol 120 p 141-156.
- 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.
- 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)
- 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
- 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
- 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
- A. Yilmaz, O. Javed and M. Shah, Object Tracking: A Survey, ACM Journal of Computing Surveys, Vol. 38, No. 4, pp. 1-45, 2006
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
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
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