Pith Number

pith:ZNISSIOJ

pith:2026:ZNISSIOJWYBBTZPNU7AAP2XT4N

not attested not anchored not stored refs resolved

Frequency-domain Event-based Imaging for Selective Surveillance

Adrish Kar, James Rick, Jason Zutty, Joseph L. Greene, Megan Birch

Frequency analysis of event data from event-based cameras isolates rotating man-made objects like drone rotors from background clutter.

arxiv:2605.15392 v1 · 2026-05-14 · physics.optics · cs.CV

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\pithnumber{ZNISSIOJWYBBTZPNU7AAP2XT4N}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

FRIES applies time gating, pixel-wise activity mapping, ROI clustering, and localized spectral analysis to extract dominant frequencies that distinguish structured object signatures from unstructured background and noise; RTS then weights events by phase coherence with those frequencies.

C2weakest assumption

That periodicity from man-made objects such as rotor rotation produces detectable dominant frequencies in the aggregated event data of each ROI that can be reliably separated from background and noise without full-frame processing.

C3one line summary

Introduces FRIES framework and RTS visualization to detect periodic event signatures from event cameras for discriminating man-made objects against background.

References

30 extracted · 30 resolved · 0 Pith anchors

[1] Situational Awareness: Techniques, Challenges, and Prospects, 2022

[2] Event-Based Vision: A Survey, 2022

[3] Learning Event-Based Motion Deblurring, 2020

[4] Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars, 2018

[5] Turbulence mitigation in imagery including moving objects from a static event camera, 2021

Receipt and verification

First computed	2026-05-20T00:00:56.263007Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cb512921c9b60219e5eda7c007eaf3e35a834d609dab5b3e490b31bc8a6e7dca

Aliases

arxiv: 2605.15392 · arxiv_version: 2605.15392v1 · doi: 10.48550/arxiv.2605.15392 · pith_short_12: ZNISSIOJWYBB · pith_short_16: ZNISSIOJWYBBTZPN · pith_short_8: ZNISSIOJ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZNISSIOJWYBBTZPNU7AAP2XT4N \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: cb512921c9b60219e5eda7c007eaf3e35a834d609dab5b3e490b31bc8a6e7dca

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d07ec76411c2eeae1ca579a59a4b29e23ae9a431016b54add6e888c0c6db9742",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.optics",
    "submitted_at": "2026-05-14T20:25:51Z",
    "title_canon_sha256": "e71495db6da1255b1fb2ad7eedfc631d73fdb0026a6f36ae68c6234d121b5e12"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15392",
    "kind": "arxiv",
    "version": 1
  }
}