Motion Detection

Motion Detection is a computational method in machine vision for robotics that identifies temporal changes in visual or sensor data to determine the presence of movement within a scene, distinguishing itself from other motion perception techniques by focusing on the binary or qualitative assessment of displacement rather than estimating velocity, trajectory, or detailed dynamics.

2.5K

Publications

125.6K

Citations

7.9K

Authors

1.9K

Institutions

Publications per year

2017–2026

759

Authors

7.9K

  1. AB
    Alexander Borst

    Max Planck Institute of Neurobiology, Germany

    18 publications · 1.3K citations

    16

    h-index

  2. DC
    David C. O’Carroll

    The University of Adelaide, Australia

    11 publications · 418 citations

    10

    h-index

  3. PB
    Patrick Bouthémy

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    10 publications · 293 citations

    10

    h-index

  4. SH
    Shih‐Chia Huang

    National Taipei University of Technology, Taiwan

    10 publications · 653 citations

    10

    h-index

  5. CK
    Christof Koch

    California Institute of Technology, United States

    9 publications · 270 citations

    9

    h-index

1–5 of 7.9K

Venues

  1. Vision Research

    56 publications · 2.9K citations

    29

    h-index

  2. ACS Applied Materials & Interfaces

    27 publications · 2.8K citations

    25

    h-index

  3. Sensors

    42 publications · 1.5K citations

    25

    h-index

  4. 21

    h-index

  5. IEEE Transactions on Consumer Electronics

    32 publications · 1.2K citations

    21

    h-index

1–5