@misc{10498/32165,
year = {2023},
url = {http://hdl.handle.net/10498/32165},
abstract = {We are investigating surrogate gradient as optimization methods in Deep SNN for regression prob-
lems. A SNN able to detect a ball at high speed is being developed in which the voltage potential
of the output neurons correspond, in real time, with its position, making possible its application
in robotic systems that require fast object tracking. As a future work, training and validation
over the network and dataset design would be performed using PyTorch framework, as well as the
deployment of the system into a robotic platform, for object identification and tracking.},
publisher = {OLA},
keywords = {Spiking Neural Networks},
keywords = {Deep Learning},
keywords = {Object Tracking},
title = {Deep Spiking Neural Network for object tracking},
author = {Guerrero Vázquez, Elisa and Quintana Velázquez, Fernando Manuel and Guerrero Lebrero, María de la Paz and Pérez Peña, Fernando and Galindo Riaño, Pedro Luis},
}