Frequency-domain Event-based Imaging for Selective Surveillance
Event-based cameras (EBCs) are an attractive sensing modality for surveillance due to their reporting of pixel-level radiance changes with microsecond resolution and high dynamic range, enabling motion extraction while suppressing background. Their asynchronous, sparse output, however, necessitate algorithms that identify targets in event-space without processing full frames. We introduce Frequency Rate Information for Event Space (FRIES), a neuromorphic processing framework that detects periodicity in events, such as rotor rotation and mechanical vibrations, to discriminate and monitor man-made objects. FRIES first applies a time gate to suppress background and noise, then aggregates eve...
| Authors | Megan Birch, James Rick, Adrish Kar et al. |
|---|---|
| Primary category | physics.optics |
| Published | 14 May 2026 |
| Last updated at source | 14 May 2026 |
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