Automated detection of human behavior in a social setting has drawn considerable interests in recent years. In this working notes paper, we describe our system developed for human behavior analysis. The system is composed of two components: 1) a dimensionality reduction module that maps the original data to a subspace; and 2) a classifier module that classifies the test data based on the labels of training data in the learned subspace. The developed system is evaluated on the MediaEval 2018 Human Behavior Analysis Task. Copyright held by the owner/author(s).
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2018|
|Event||2018 Working Notes Proceedings of the MediaEval Workshop, MediaEval 2018 - Sophia Antipolis, France|
Duration: 29 Oct 2018 → 31 Oct 2018
Scopus Subject Areas
- Computer Science(all)