# Detecting speaking persons in video

arXiv: https://arxiv.org/abs/2110.13806 · HTML: https://mlsanity.com/paper/2110.13806/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 2 references that are in the map.
- First posted on arXiv 25 Oct 2021.

## Builds on (most cited first, 2 of 2)

- [How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)](https://mlsanity.com/paper/1703.07332/) (2017)
- [S3FD: Single Shot Scale-invariant Face Detector](https://mlsanity.com/paper/1708.05237/) (2017)

## Abstract (arXiv)

We present a novel method for detecting speaking persons in video, by extracting facial landmarks with a neural network and analysing these landmarks statistically over time
