Point Cloud Tracking

Point Cloud Tracking is a computational method in point cloud processing that dynamically associates and follows the spatial-temporal evolution of three-dimensional point sets across consecutive frames to estimate object motion and trajectory.

250

Publications

16K

Citations

773

Authors

299

Institutions

Publications per year

2017–2026

115

Authors

773

  1. ZF
    Zheng Fang

    Northeastern University, China

    7 publications · 306 citations

    7

    h-index

  2. YC
    Yubo Cui

    Northeastern University, China

    7 publications · 306 citations

    7

    h-index

  3. SZ
    Sifan Zhou

    Sichuan Agricultural University, China

    7 publications · 293 citations

    7

    h-index

  4. JS
    Jiayao Shan

    Northeastern University, China

    6 publications · 218 citations

    6

    h-index

  5. PJ
    Piotr Jasiobedzki

    University of Toronto, Canada

    3 publications · 65 citations

    3

    h-index

1–5 of 773

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 327 citations

    10

    h-index

  2. 8

    h-index

  3. 6

    h-index

  4. International Journal of Computer Vision

    5 publications · 564 citations

    5

    h-index

  5. Sensors

    5 publications · 227 citations

    5

    h-index

1–5