@InProceedings{AngelMorera2019,
author="Angel Morera
and Angel Sanchez
and Angel Sappa
and Jose F. Velez",
title="Robust Detection of Outdoor Urban Advertising Panels in Static Images",
booktitle="18th International Conference on Practical Applications of Agents and Multi-Agent Systems",
year="2019",
pages="246--256",
optkeywords="Object detection",
optkeywords="Urban ads panels",
optkeywords="Deep learning",
optkeywords="Single Shot Detector (SSD) architecture",
optkeywords="Intersection over Union (IoU) metric",
optkeywords="Augmented Reality",
abstract="One interesting publicity application for Smart City environments is recognizing brand information contained in urban advertising panels. For such a purpose, a previous stage is to accurately detect and locate the position of these panels in images. This work presents an effective solution to this problem using a Single Shot Detector (SSD) based on a deep neural network architecture that minimizes the number of false detections under multiple variable conditions regarding the panels and the scene. Achieved experimental results using the Intersection over Union (IoU) accuracy metric make this proposal applicable in real complex urban images.",
optnote="MSIAU; 600.130; 600.122",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3270), last updated on Mon, 07 Dec 2020 14:18:31 +0100",
opturl="https://doi.org/10.1007/978-3-030-24299-2_21",
file=":http://refbase.cvc.uab.es/files/MSS2019.pdf:PDF"
}