Identificação automática de pichação a partir de imagens urbanas
This addresses the issue of graffiti tagging for local authorities, but it is incremental as it builds on existing image detection methods without new breakthroughs.
The paper tackles the problem of automatically creating graffiti tagging maps for cities to aid in cleanup efforts, using street view images and tag detection, but it is a work in progress with no concrete results reported.
Graffiti tagging is a common issue in great cities an local authorities are on the move to combat it. The tagging map of a city can be a useful tool as it may help to clean-up highly saturated regions and discourage future acts in the neighbourhood and currently there is no way of getting a tagging map of a region in an automatic fashion and manual inspection or crowd participation are required. In this work, we describe a work in progress in creating an automatic way to get a tagging map of a city or region. It is based on the use of street view images and on the detection of graffiti tags in the images.