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.
CITATION STYLE
Morera, Á., Sánchez, Á., Sappa, Á. D., & Vélez, J. F. (2019). Robust detection of outdoor urban advertising panels in static images. In Communications in Computer and Information Science (Vol. 1047, pp. 246–256). Springer Verlag. https://doi.org/10.1007/978-3-030-24299-2_21
Mendeley helps you to discover research relevant for your work.