Random Forest Regression for continuous affect using Facial Action Units

Autor:	Hinduja, Saurabh, Canavan, Shaun, Jivnani, Liza, Jannat, Sk Rahatul, Kumar, V Sri Chakra
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	In this paper we describe our approach to the arousal and valence track of the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW). We extracted facial features using OpenFace and used them to train a multiple output random forest regressor. Our approach performed comparable to the baseline approach.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2203.12818 Zobrazit plný text záznamu View this record from Arxiv