Automatische Schätzung der Körperpose mit CNNs und LSTMs

Abstract

In this thesis, we present an end-to-end approach to human pose estimation task that based on a deep hybrid architecture that combines convolutional neural network (CNNs) and recurrent neural networks (RNNs)