Tracklet Linking

Tracklet Linking is a data association technique in visual tracking that connects short, fragmented trajectory segments into longer, coherent tracks by distinguishing genuine object paths from spurious detections through spatiotemporal and appearance-based cues.

19

Publications

1.5K

Citations

79

Authors

32

Institutions

Publications per year

2017–2026

12

Variants

Tracklet Association

Authors

79

  1. YZ
    Yueqing Zhuang

    Peking University, China

    2 publications · 108 citations

    2

    h-index

  2. XX
    Xiaodong Xie

    Peking University, China

    2 publications · 108 citations

    2

    h-index

  3. CM
    Cong Ma

    Beijing Jiaotong University, China

    2 publications · 108 citations

    2

    h-index

  4. ZZ
    Ziwei Zhang

    China Agricultural University, China

    2 publications · 108 citations

    2

    h-index

  5. FY
    Fan Yang

    Peking University, China

    2 publications · 108 citations

    2

    h-index

1–5 of 79

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 48 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Frontiers in Robotics and AI

    1 publications · 62 citations

    1

    h-index

  5. 1

    h-index

1–5