October 12, 2025Open Access

Optical Flow-Based Algorithms for Real-Time Awareness of Hazardous Events

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Authors

SKStiliyan KalitzinHeidelberg University SKSimeon KarpuzovSofia University "St. Kliment Ohridski"GPGeorge PetkovSofia University "St. Kliment Ohridski"

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Implication

Automated detection of hazardous events using optical flow algorithms supports real-time monitoring for vulnerable populations, indicating a significant advancement in safety technology.

Key Points

Optical flow-based algorithms efficiently reconstruct global movement parameters for detecting hazardous events.
Results indicate that these detectors are effective for real-time alerting systems, ensuring swift responses.
The system's modular design allows for separate or parallel operation of software modules dedicated to identifying adverse events.
Field trials are currently being conducted with the system in monitoring epileptic patients to assess its practical application.

Cite This Study

Kalitzin et al. (2025) studied this question.

synapsesocial.com/papers/68ebabe3155248a327effe0e https://doi.org/10.20944/preprints202510.0431.v1

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Implication

Automated detection of hazardous events using optical flow algorithms supports real-time monitoring for vulnerable populations, indicating a significant advancement in safety technology.

Optical Flow-Based Algorithms for Real-Time Awareness of Hazardous Events

Discussion

Member takes

Implication

Key Points

Cite This Study

Optical Flow-Based Algorithms for Real-Time Awareness of Hazardous Events

Discussion

Member takes

Implication

Key Points

Cite This Study

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