Robust detection of outdoor urban advertising panels in static images

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.

Año de publicación:

2019

Keywords:

• Urban ads panels
• Intersection over Union (IoU) metric
• Single Shot Detector (SSD) architecture
• object detection
• Augmented reality
• deep learning

Fuente:

scopus

google