Activity Recognition

Activity Recognition is a computational methodology within video analysis that identifies and classifies human actions or behavioral patterns in video sequences by interpreting spatiotemporal visual features.

8.2K

Publications

574.5K

Citations

18.5K

Authors

3.3K

Institutions

Publications per year

2017–2026

4.2K

Authors

18.5K

  1. MS
    Mubarak Shah

    University of Central Florida, United States

    41 publications · 13.3K citations

    33

    h-index

  2. DJ
    Diane J. Cook

    Washington State University, United States

    44 publications · 5.3K citations

    31

    h-index

  3. LS
    Ling Shao

    Inception Institute of Artificial Intelligence, United Arab Emirates

    42 publications · 2.7K citations

    29

    h-index

  4. RC
    Rama Chellappa

    University of Maryland, College Park, United States

    41 publications · 4.9K citations

    29

    h-index

  5. AJ
    Ahmad Jalal

    Air University, Pakistan

    31 publications · 3.1K citations

    28

    h-index

1–5 of 18.5K

Venues

  1. Sensors

    357 publications · 22.1K citations

    69

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 99 publications · 26.2K citations

    65

    h-index

  3. IEEE Access

    200 publications · 11.3K citations

    56

    h-index

  4. arXiv (Cornell University)

    Repository · 217 publications · 18.7K citations

    55

    h-index

  5. IEEE Internet of Things Journal

    74 publications · 6K citations

    46

    h-index

1–5