Context-conditioned Tracking

Context-Conditioned Tracking is a context-aware fusion method that dynamically modulates object tracking processes by selectively integrating sensory and environmental cues according to the current contextual state.

45

Publications

3.1K

Citations

130

Authors

61

Institutions

Publications per year

2017–2026

25

Authors

130

  1. QL
    Qihua Liang

    Guangxi Normal University, China

    2 publications · 216 citations

    2

    h-index

  2. WZ
    Wengang Zhou

    University of Science and Technology of China, China

    2 publications · 887 citations

    2

    h-index

  3. JM
    José M. Molina

    Universidad Carlos III de Madrid, Spain

    2 publications · 35 citations

    2

    h-index

  4. ÁS
    Ángel Sánchez

    Universidad Rey Juan Carlos, Spain

    2 publications · 35 citations

    2

    h-index

  5. BZ
    Bineng Zhong

    Huaqiao University, China

    2 publications · 216 citations

    2

    h-index

1–5 of 130

Venues

  1. IEEE Transactions on Image Processing

    4 publications · 127 citations

    4

    h-index

  2. Pattern Recognition

    2 publications · 53 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 216 citations

    2

    h-index

  4. Neurocomputing

    2 publications · 31 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 50 citations

    2

    h-index

1–5