IEEE TCSVT · 2024 · Journal article

Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark

Armin Danesh Pazho, Shanle Yao, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Vinit Katariya, Hamed Tabkhi

University of North Carolina at Charlotte · University of Wyoming · Wyoming Department of Education

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Published in
IEEE Transactions on Circuits and Systems for Video Technology
Date
2025-11-13
Citations
8
arXiv
2408.14329
Cite
@article{pazho2024toward,
  title = {Toward Adaptive Human-Centric Video Anomaly Detection: A Comprehensive Framework and a New Benchmark},
  author = {Armin Danesh Pazho and Shanle Yao and Ghazal Alinezhad Noghre and Babak Rahimi Ardabili and Vinit Katariya and Hamed Tabkhi},
  year = {2024},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  eprint = {2408.14329},
  archivePrefix = {arXiv},
  doi = {10.1109/TCSVT.2025.3632768},
  url = {https://arxiv.org/abs/2408.14329},
}