Identifica\c{c}\~ao autom\'atica de picha\c{c}\~ao a partir de imagens urbanas

TL;DR

This paper proposes an automated method to generate graffiti tagging maps of urban regions using street view images and graffiti detection techniques, aiming to assist city cleanup efforts.

Contribution

It introduces a novel approach combining street view imagery and graffiti detection for automatic tagging map creation, addressing the lack of existing automated solutions.

Findings

Initial implementation shows promising detection accuracy.

Potential to reduce manual inspection efforts.

Framework can be adapted to different urban areas.

Abstract

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.