Real-time Tracking Algorithms

Real-Time Tracking Algorithms is a computational method that enables the continuous and instantaneous estimation of an object's position and state within a dynamic environment, distinguished by its ability to process sensor data and update tracking information with minimal latency to support time-critical applications.

828

Publications

58.6K

Citations

2.5K

Authors

793

Institutions

Publications per year

2017–2026

197

Authors

2.5K

  1. ÉM
    Éric Marchand

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    6 publications · 380 citations

    6

    h-index

  2. VL
    Vincent Lepetit

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 702 citations

    5

    h-index

  3. CF
    Changhong Fu

    Tongji University, China

    5 publications · 203 citations

    5

    h-index

  4. FC
    François Chaumette

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    5 publications · 338 citations

    5

    h-index

  5. SH
    Seung Hun Jin

    Sungkyunkwan University, South Korea

    4 publications · 131 citations

    4

    h-index

1–5 of 2.5K

Venues

  1. Image and Vision Computing

    13 publications · 1K citations

    12

    h-index

  2. Sensors

    12 publications · 454 citations

    11

    h-index

  3. 11

    h-index

  4. Journal of Real-Time Image Processing

    11 publications · 342 citations

    11

    h-index

  5. Pattern Recognition

    10 publications · 648 citations

    10

    h-index

1–5