Crowd Motion Capture

Crowd Motion Capture is a motion capture methodology that specializes in simultaneously recording and synchronizing the movements of multiple individuals within a shared environment to generate collective human motion data for analysis or simulation.

39

Publications

2.2K

Citations

122

Authors

71

Institutions

Publications per year

2017–2026

15

Authors

122

  1. JF
    James Ferryman

    University of Reading, United Kingdom

    3 publications · 655 citations

    3

    h-index

  2. HS
    Hang Su

    Politecnico di Milano, Italy

    3 publications · 96 citations

    3

    h-index

  3. SW
    Shuang Wu

    Tencent (China), China

    2 publications · 54 citations

    2

    h-index

  4. YF
    Yawen Fan

    Nanjing University of Posts and Telecommunications, China

    2 publications · 54 citations

    2

    h-index

  5. AS
    Ali Shahrokni

    Chalmers University of Technology, Sweden

    2 publications · 535 citations

    2

    h-index

1–5 of 122

Venues

  1. 2

    h-index

  2. IEEE Access

    2 publications · 38 citations

    2

    h-index

  3. IEEE Transactions on Network Science and Engineering

    NSE · 1 publications · 55 citations

    1

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 29 citations

    1

    h-index

  5. IEEE Computer Graphics and Applications

    1 publications · 19 citations

    1

    h-index

1–5