Deep Learning for Robot Perception and Cognition

Chapter 14: Human activity recognition

Lukas Hedegaard; Negar Heidari; Alexandros Iosifidis    Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

Abstract

With the increasing amount of videos available on the internet and in security settings, human activity recognition has become a highly important topic in machine learning. In this chapter, we cover the topic of deep learning for human activity recognition and the tasks of trimmed action recognition, temporal action localization, and spatiotemporal action localization. Throughout our treatise, we discuss different architectural building blocks including 2D Convolutional Neural Networks (CNNs), 3D-CNNs, Recursive Neural Networks (RNNs), and Spatial-Temporal Graph ...