A new strategy of detecting traffic information based on traffic camera : modified inverse perspective mapping

Menéndez García, José Manuel y Yaghoobi Ershadi, Nastaran (2017). A new strategy of detecting traffic information based on traffic camera : modified inverse perspective mapping. "Journal of Electrical Engineering, Technology and Interface Utilities", v. 10 (n. 2); pp. 1101-1118. ISSN 2093-7423. https://doi.org/doi.org/11.5271/JEETIU.2017.10.2.984.

Descripción

Título: A new strategy of detecting traffic information based on traffic camera : modified inverse perspective mapping
Autor/es:
  • Menéndez García, José Manuel
  • Yaghoobi Ershadi, Nastaran
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Electrical Engineering, Technology and Interface Utilities
Fecha: Marzo 2017
Volumen: 10
Materias:
Palabras Clave Informales: Transportation Systems, Hough transform occlusions
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The development of Intelligent Transportation Systems (ITS) needs high quality traffic information such as intersections, but conventional image-based traffic detection methods have difficulties with perspective and background noise, shadows and lighting transitions. In this paper, we propose a new traffic information detection method based on Modified Inverse Perspective Mapping (MIPM) to perform under these challenging conditions. In our proposed method, first the perspective is removed from the images using the Modified Inverse Perspective Mapping (MIPM); afterward, Hough transform is applied to extract structural information like road lines and lanes; then, Gaussian Mixture Models are used to generate the binary image. Meanwhile, to tackle shadow effect in car areas, we have applied a chromacity-base strategy. To evaluate the performance of the proposed method, we used several video sequences as benchmarks. These videos are captured in normal weather from a high way, and contain different types of locations and occlusions between cars. Our simulation results indicate that the proposed algorithms and frameworks are effective, robust and more accurate compared to other frameworks, especially in facing different kinds of occlusions.

Más información

ID de Registro: 49940
Identificador DC: http://oa.upm.es/49940/
Identificador OAI: oai:oa.upm.es:49940
Identificador DOI: doi.org/11.5271/JEETIU.2017.10.2.984
URL Oficial: http://jeet.us/firstonline.html
Depositado por: Memoria Investigacion
Depositado el: 14 Abr 2018 08:50
Ultima Modificación: 14 Abr 2018 08:50
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