112 citations · 132 across the 3 of their papers we have counts for
4 papers
Towards Dense People Detection with Deep Learning and Depth images
David Fuentes-Jimenez, Cristina Losada-Gutierrez, David Casillas-Perez +4
This paper proposes a DNN-based system that detects multiple people from a single depth image. Our neural network processes a depth image and outputs a likelihood map in image coor…
Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations
Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa
Time delay estimation is essential in Acoustic Source Localization (ASL) systems. One of the most used techniques for this purpose is the Generalized Cross Correlation (GCC) betwee…
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
David Fuentes-Jimenez, Roberto Martin-Lopez, Cristina Losada-Gutierrez +4
In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability. Our neural network, called DPDnet, i…
Towards End-to-End Acoustic Localization using Deep Learning: from Audio Signal to Source Position Coordinates
Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa
This paper presents a novel approach for indoor acoustic source localization using microphone arrays and based on a Convolutional Neural Network (CNN). The proposed solution is, to…