Robust Motion Tracking

Robust Motion Tracking is a computational method in image stabilization that reliably estimates motion parameters across diverse and challenging conditions, such as occlusions, illumination changes, and rapid camera movements, by incorporating adaptive algorithms and outlier rejection mechanisms to maintain accuracy and consistency.

211

Publications

10.7K

Citations

706

Authors

273

Institutions

Publications per year

2017–2026

61

Authors

706

  1. BY
    Bin Yao

    Purdue University West Lafayette, United States

    5 publications · 478 citations

    5

    h-index

  2. BS
    Bijan Shirinzadeh

    Monash University, Australia

    5 publications · 268 citations

    5

    h-index

  3. FX
    Feng Xu

    Tsinghua University, China

    3 publications · 182 citations

    3

    h-index

  4. JD
    James D. Frost

    Baylor College of Medicine, United States

    3 publications · 86 citations

    3

    h-index

  5. MB
    Michael Beetz

    Technical University of Munich, Germany

    3 publications · 93 citations

    3

    h-index

1–5 of 706

Venues

  1. IEEE Transactions on Industrial Electronics

    5 publications · 303 citations

    5

    h-index

  2. IEEE/ASME Transactions on Mechatronics

    5 publications · 719 citations

    5

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. Sensors

    3 publications · 120 citations

    3

    h-index

1–5