I’d start by hashing each frame with its timestamp and coordinates, then run a Bayesian filter to update the likelihood of each face or object’s identity. The field manual, section 4.7, covers the low‑latency face‑tracking routine—keep a two‑second buffer, discard what doesn’t change the posterior, and you’ve got a clean data set. The rest is just noise.