64 citations · 140 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information
Adrian Sanchez-Caballero, Sergio de López-Diz, David Fuentes-Jimenez +4
Human actions recognition is a fundamental task in artificial vision, that has earned a great importance in recent years due to its multiple applications in different areas. %, suc…
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…