Igtracker: task and instance information gaps in multiple object tracking

Jialin Liu, Jun Kong, Min Jiang, Danfeng Zhuang

Open source

DOI: 10.1007/s13042-024-02182-8
Published: 2024-05-02
Container: International Journal of Machine Learning and Cybernetics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s13042-024-02182-8,
  title = {Igtracker: task and instance information gaps in multiple object tracking},
  author = {Jialin Liu and Jun Kong and Min Jiang and Danfeng Zhuang},
  year = {2024},
  journal = {International Journal of Machine Learning and Cybernetics},
  doi = {10.1007/s13042-024-02182-8},
  url = {https://doi.org/10.1007/s13042-024-02182-8}
}

RIS

TY  - JOUR
TI  - Igtracker: task and instance information gaps in multiple object tracking
AU  - Jialin Liu
AU  - Jun Kong
AU  - Min Jiang
AU  - Danfeng Zhuang
PY  - 2024
JO  - International Journal of Machine Learning and Cybernetics
DO  - 10.1007/s13042-024-02182-8
UR  - https://doi.org/10.1007/s13042-024-02182-8
ER  -

APA

Liu, J., Kong, J., Jiang, M., & Zhuang, D. (2024). Igtracker: task and instance information gaps in multiple object tracking. International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-024-02182-8

Source records

crossref · retrieved 2026-09-25T18:48:25.750Z