Human Pose Estimation with CNNs and LSTMs
Huseyin Coskun · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
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).