Title :
Automated image recognition of public lighting luminaries
Author :
Raphael Santos Broetto;José Gonçalves Pereira Filho;Flávio Miguel Varejão;Andre Bernadi Candeia
Author_Institution :
Dept. of Inf., Fed. Univ. of Espirito Santo, Vitó
Abstract :
Brazilian energy distribution companies need to frequently update their database of the public lighting network. Since changes on this network are frequently not reported, it is important to monitor where they are made. An electronic device is under development for making this task easier. One component of this device uses image processing and recognition techniques to identify the luminaire models of the public lighting spot. This paper presents the comparative analysis of techniques for image description and classification we have performed in order to discriminate different models of luminaires.
Keywords :
"Databases","Classification algorithms","Cameras","Lighting","Shape","Companies","Data mining"
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
DOI :
10.1109/ICECS.2013.6815500