Registro fonte: Vehicle speed estimation by license plate detection and tracking

Vehicle speed estimation by license plate detection and tracking

Speed control systems are used in most countries to enforce speed limits and, consequently, to prevent accidents. Most of such systems are based on intrusive technologies which require complex installation and maintenance, usually causing traffic disturbance. In this work, we propose a non-intrusive...

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Autor principal:	Luvizon, Diogo Carbonera
Formato:	Dissertação
Idioma:	Inglês
Publicado em:	Universidade Tecnológica Federal do Paraná 2015
Assuntos:	Veículos - Velocidade Detectores Processamento de imagens - Técnicas digitais Vídeo digital Computação Vehicles - Speed Detectors Image processing - Digital techniques Digital video Computer science
Acesso em linha:	http://repositorio.utfpr.edu.br/jspui/handle/1/1380
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id	riut-1-1380
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spelling	riut-1-13802015-11-24T05:00:36Z Vehicle speed estimation by license plate detection and tracking Luvizon, Diogo Carbonera Minetto, Rodrigo Nassu, Bogdan Tomoyuki Veículos - Velocidade Detectores Processamento de imagens - Técnicas digitais Vídeo digital Computação Vehicles - Speed Detectors Image processing - Digital techniques Digital video Computer science Speed control systems are used in most countries to enforce speed limits and, consequently, to prevent accidents. Most of such systems are based on intrusive technologies which require complex installation and maintenance, usually causing traffic disturbance. In this work, we propose a non-intrusive video-based system for vehicle speed estimation. The proposed system detects moving vehicles using an optimized motion detector. We apply a specialized text detector to locate the vehicle’s license plate region, in which stable features are selected for tracking. The tracked features are then filtered and rectified for perspective distortion. Vehicle speed is estimated by comparing the trajectory of the tracked features to known real world measures. For our tests, we used almost five hours of videos in different conditions, captured by a single low-cost camera positioned at 5.5 meters height. The recorded videos contain more than 8,000 vehicles, in three different road lanes, with associated ground truth speeds obtained from an inductive loop detector. We compared our license plate detector with three other state-of-the-art text detectors, and our approach has shown the best performance for our dataset, attaining a precision of 0.93 and a recall of 0.87. Vehicle speeds were estimated with an average error of -0.5 km/h, staying inside the +2/-3 km/h limit determined by regulatory authorities in several countries in over 96.0% of the cases. CNPq Sistemas de controle de velocidade são utilizados em vários países para fiscalizar o cumprimento dos limites de velocidade, prevenindo assim acidentes de trânsito. Muitos desses sistemas são baseados em tecnologias intrusivas que requerem processos de instalação e manutenção complexos, geralmente atrapalhando o trânsito. Neste projeto, propõe-se um sistema não intrusivo para estimativa da velocidade de veículos baseado em vídeo. O sistema proposto detecta veículos em movimento utilizando um detector de movimento otimizado. Aplicou-se um detector de texto especializado para localizar a placa dos veículos, a qual foi utilizada para seleção e rastreamento de pontos estáveis. Os pontos rastreados são então filtrados e retificados para remoção do efeito da perspectiva. A velocidade dos veículos é estimada comparando-se a trajetória dos pontos rastreados com dimensões conhecidas no mundo. Para os testes, utilizou-se aproximadamente cinco horas de vídeos em diferentes condições, capturados por uma câmera de baixo custo posicionada a 5,5 metros de altura. Os vídeos capturados contém mais de 8.000 veículos distribuídos em três pistas diferentes, com as velocidades reais para cada veículo obtidas a partir de um detector por laço indutivo. O detector de placas proposto foi comparado com três outros métodos no estado da arte e obteve os melhores resultados de performance para os nossos vídeos, com precisão (precision) de 0,93 e coeficiente de revocação (recall) de 0,87. A estimativa de velocidade dos veículos apresentou erro médio de -0,5 km/h, permanecendo dentro da margem de +2/-3 km/h, determinada por agências reguladoras em vários países, em 96,0% dos casos. 2015-11-23T21:14:49Z 2015-11-23T21:14:49Z 2015-08-21 masterThesis LUVIZON, Diogo Carbonera. Vehicle speed estimation by license plate detection and tracking. 2015. 73. Dissertação (Mestrado em Computação Aplicada) – Universidade Tecnológica Federal do Paraná, Curitiba, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/1380 eng application/pdf Universidade Tecnológica Federal do Paraná Curitiba Programa de Pós-Graduação em Computação Aplicada
institution	Universidade Tecnológica Federal do Paraná
collection	RIUT
language	Inglês
topic	Veículos - Velocidade Detectores Processamento de imagens - Técnicas digitais Vídeo digital Computação Vehicles - Speed Detectors Image processing - Digital techniques Digital video Computer science
spellingShingle	Veículos - Velocidade Detectores Processamento de imagens - Técnicas digitais Vídeo digital Computação Vehicles - Speed Detectors Image processing - Digital techniques Digital video Computer science Luvizon, Diogo Carbonera Vehicle speed estimation by license plate detection and tracking
description	Speed control systems are used in most countries to enforce speed limits and, consequently, to prevent accidents. Most of such systems are based on intrusive technologies which require complex installation and maintenance, usually causing traffic disturbance. In this work, we propose a non-intrusive video-based system for vehicle speed estimation. The proposed system detects moving vehicles using an optimized motion detector. We apply a specialized text detector to locate the vehicle’s license plate region, in which stable features are selected for tracking. The tracked features are then filtered and rectified for perspective distortion. Vehicle speed is estimated by comparing the trajectory of the tracked features to known real world measures. For our tests, we used almost five hours of videos in different conditions, captured by a single low-cost camera positioned at 5.5 meters height. The recorded videos contain more than 8,000 vehicles, in three different road lanes, with associated ground truth speeds obtained from an inductive loop detector. We compared our license plate detector with three other state-of-the-art text detectors, and our approach has shown the best performance for our dataset, attaining a precision of 0.93 and a recall of 0.87. Vehicle speeds were estimated with an average error of -0.5 km/h, staying inside the +2/-3 km/h limit determined by regulatory authorities in several countries in over 96.0% of the cases.
format	Dissertação
author	Luvizon, Diogo Carbonera
author_sort	Luvizon, Diogo Carbonera
title	Vehicle speed estimation by license plate detection and tracking
title_short	Vehicle speed estimation by license plate detection and tracking
title_full	Vehicle speed estimation by license plate detection and tracking
title_fullStr	Vehicle speed estimation by license plate detection and tracking
title_full_unstemmed	Vehicle speed estimation by license plate detection and tracking
title_sort	vehicle speed estimation by license plate detection and tracking
publisher	Universidade Tecnológica Federal do Paraná
publishDate	2015
citation	LUVIZON, Diogo Carbonera. Vehicle speed estimation by license plate detection and tracking. 2015. 73. Dissertação (Mestrado em Computação Aplicada) – Universidade Tecnológica Federal do Paraná, Curitiba, 2015.
url	http://repositorio.utfpr.edu.br/jspui/handle/1/1380
_version_	1703204050388910080
score	10,966462

Vehicle speed estimation by license plate detection and tracking

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