temporal_band_power — MOTIONMAG `temporal` op

• Data kinds: video → image2d

• Call: import motionmag; motionmag.temporal_band_power(video, f_lo, f_hi, fps) -> 'np.ndarray' (or opsmotionmag.get("temporal_band_power"))

Usage

Per-pixel mean-square power inside a temporal band -> `(H, W)` map.

"Where in the frame is something moving at this frequency?" — a resonance

map. The value at a pixel is the mean over time of the squared band-passed

signal, so a pure sinusoid of amplitude `a` inside the band reads exactly

`a^2/2 (Parseval; measured relative error 3.08e-16 for a = 0.3`).

This is an *analysis map*, not a displayable image: it is a power and is not

bounded by 1. Pixels with no in-band content read 0.

Detailed usage guide

• motion_magnification family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• motion_magnification — py -3.11 examples/motion_magnification.py

• poc_motion_magnification — py -3.11 examples/poc_motion_magnification.py

Ops the type connects to (they accept `image2d` as input)

complex_steerable_decompose

Same category (`temporal`)

temporal_bandpass · band_snr

*Provenance: motionmag.py — MOTIONMAG operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

temporal_band_power — MOTIONMAG temporal op