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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.

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Menéndez García, José Manuel -  Yaghoobi Ershadi, Nastaran - 

Id.: 71216909

Idioma: eng  - 

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveElectrónica - 

Tipo de recurso: info:eu-repo/semantics/article  -  Artículo  -  PeerReviewed  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: http://creativecommons.org/licenses/by-nc-nd/3.0/es/

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] Journal of Electrical Engineering, Technology and Interface Utilities, ISSN 2093-7423, 2017-03, Vol. 10, No. 2
[References] http://jeet.us/firstonline.html
[References] info:eu-repo/semantics/altIdentifier/doi/doi.org/11.5271/JEETIU.2017.10.2.984

Fecha de contribución: 15-abr-2018



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