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A Hybrid Approach to Aerial Video Image Registration

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2016, Master of Science (MS), Wright State University, Computer Science.
Many video processing applications, such as motion detection and tracking, rely on accurate and robust alignment between consecutive video frames. Traditional approaches to video image registration, such as pyramidal Kanade-Lucas-Tomasi (KLT) feature detection and tracking are fast and subpixel accurate, but are not robust to large inter-frame displacements due to rotation, scale, or translation. This thesis presents an alternative hybrid approach using normalized gradient correlation (NGC) in the frequency domain and normalized cross-correlation (NCC) in the spatial domain that is fast, accurate, and robust to large displacements. A scale space search is incorporated into NGC to enable more consistent recovery of scale factors up to 6. Results show that the scale space enhanced NGC improves performance in both speed and maximum scale recovery. The proposed hybrid approach is compared to KLT and results demonstrate a significant improvement in robustness in exchange for a slight reduction in accuracy.
Arthur Goshtasby, Ph.D. (Advisor)
Thomas Wischgoll, Ph.D. (Committee Member)
Juan Vasquez, Ph.D. (Committee Member)
140 p.

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Citations

  • Salva, K. T. (2016). A Hybrid Approach to Aerial Video Image Registration [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971

    APA Style (7th edition)

  • Salva, Karol. A Hybrid Approach to Aerial Video Image Registration. 2016. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971.

    MLA Style (8th edition)

  • Salva, Karol. "A Hybrid Approach to Aerial Video Image Registration." Master's thesis, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483524722687971

    Chicago Manual of Style (17th edition)