Sistema para Detecção Oportunista de Vagas de Estacionamento via Câmeras de Segurança
Resumo
O trabalho desenvolvido propõe um sistema para detecção oportunista de vagas de estacionamento utilizando câmeras de segurança. Nós aplicamos diferentes técnicas de processamento de imagem para detectar vagas de estacionamento livres em três diferentes cenários. Obtemos resultados promissores onde a taxa de sucesso de detecção alcança até 84% e o tempo de processamento da requisição fica no intervalo de 0.21s até 24.26s.Referências
Huang, C.-C., Dai, Y.-S., and Wang, S.-J. (2012). A surface-based vacant space detection for an intelligent parking lot. In International Conference on ITS Telecommunications.
Jermsurawong, J., Ahsan, M., Haidar, A., Dong, H., and Mavridis, N. (2012). Car parking vacancy detection and its application in 24-hour statistical analysis. In International Conference on Frontiers of Information Technology.
Lixia, W. and Dalin, J. (2012). A method of parking space detection based on image segmentation and lbp. In International Conference on Multimedia Information Networking and Security.
Otsu, N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9:62–66.
Park, W.-J., Kim, B.-S., Seo, D.-E., Kim, D.-S., and Lee, K.-H. (2008). Parking space In IEEE Intelligent detection using ultrasonic sensor in parking assistance system. Vehicles Symposium.
Prewitt, J. M. S. (1970). Object enhancement and extraction. Picture Processing and Psychopictorics, 75:75 – 149.
R Development Core Team (2011). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Yang, J., Portilla, J., and Riesgo, T. (2012). Smart parking service based on wireless sensor networks. In Conference of the IEEE Industrial Electronics Society.
Yusnita, R., Fariza, N., and Norazwinawati, B. (2012). Intelligent parking space detection system based on image processing. International Journal of Innovation, Management and Technology, 3(3):232 – 235.
Jermsurawong, J., Ahsan, M., Haidar, A., Dong, H., and Mavridis, N. (2012). Car parking vacancy detection and its application in 24-hour statistical analysis. In International Conference on Frontiers of Information Technology.
Lixia, W. and Dalin, J. (2012). A method of parking space detection based on image segmentation and lbp. In International Conference on Multimedia Information Networking and Security.
Otsu, N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics, 9:62–66.
Park, W.-J., Kim, B.-S., Seo, D.-E., Kim, D.-S., and Lee, K.-H. (2008). Parking space In IEEE Intelligent detection using ultrasonic sensor in parking assistance system. Vehicles Symposium.
Prewitt, J. M. S. (1970). Object enhancement and extraction. Picture Processing and Psychopictorics, 75:75 – 149.
R Development Core Team (2011). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
Yang, J., Portilla, J., and Riesgo, T. (2012). Smart parking service based on wireless sensor networks. In Conference of the IEEE Industrial Electronics Society.
Yusnita, R., Fariza, N., and Norazwinawati, B. (2012). Intelligent parking space detection system based on image processing. International Journal of Innovation, Management and Technology, 3(3):232 – 235.
Publicado
23/07/2013
Como Citar
LIMA, David H. S.; AQUINO, Andre L. L.; ALMEIDA, Eliana S..
Sistema para Detecção Oportunista de Vagas de Estacionamento via Câmeras de Segurança. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 5. , 2013, Maceió.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 2052-2061.
ISSN 2595-6183.
