An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal.

Huang X, Wang S, Gao X, Luo D, Xu W, Pang H, Zhou M

DOI: 10.3390/s23187937
Published: 2023 Sep 16
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s23187937,
  title = {An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal.},
  author = {Huang X and Wang S and Gao X and Luo D and Xu W and Pang H and Zhou M},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23187937},
  url = {https://doi.org/10.3390/s23187937}
}

RIS

TY  - JOUR
TI  - An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal.
AU  - Huang X
AU  - Wang S
AU  - Gao X
AU  - Luo D
AU  - Xu W
AU  - Pang H
AU  - Zhou M
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23187937
UR  - https://doi.org/10.3390/s23187937
ER  -

APA

X, H., S, W., X, G., D, L., W, X., H, P., & M, Z. (2023). An H-GrabCut Image Segmentation Algorithm for Indoor Pedestrian Background Removal.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23187937

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pubmed · retrieved 2026-09-26T05:37:30.577Z