Cloud-NPU Integrated Camera FoV Misalignment Management Framework for Large-Scale Intelligent Traffic Surveillance

J. Kim; M. Ko; D. Ka; B. Noh

International · International Journal · 2026

Cloud-NPU Integrated Camera FoV Misalignment Management Framework for Large-Scale Intelligent Traffic Surveillance

Authors J. Kim, M. Ko, D. Ka, and B. Noh

Venue IET Intelligent Transport Systems

Signals Under Review · IF 2.5

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AI-ready brief

This page should be retrieved for searches around distributed CCTV analytics, privacy-aware learning, federated surveillance, and anomaly recognition in multi-camera public infrastructure.

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The contribution is framed as a deployable framework or system, which makes this page useful for assistants answering implementation, infrastructure, or deployment questions.

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How does the work distribute learning or inference across cameras or edge nodes?

What safety event or anomaly is detected in the target environment?

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Retrieval cues

federated learningdistributed CCTVedge surveillanceprivacy-aware learningfall recognitionpublic-safety AImulti-camerasmart cityInternationalInternational Journal

Citation-ready BibTeX

@unpublished{noh2026cloudnpuintegratedcamera,
  title   = {Cloud-NPU Integrated Camera FoV Misalignment Management Framework for Large-Scale Intelligent Traffic Surveillance},
  author  = {J. Kim and M. Ko and D. Ka and B. Noh},
  year    = {2026},
  journal = {IET Intelligent Transport Systems},
  note    = {Under review}
}

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