{"id":104406,"date":"2018-03-11T10:27:24","date_gmt":"2018-03-11T10:27:24","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/detection-and-tracking-of-vanishing-points-in-dynamic-environments\/"},"modified":"2018-03-11T10:27:24","modified_gmt":"2018-03-11T10:27:24","slug":"detection-and-tracking-of-vanishing-points-in-dynamic-environments","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/vision-artificial\/detection-and-tracking-of-vanishing-points-in-dynamic-environments\/","title":{"rendered":"Detection and tracking of vanishing points in dynamic environments"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Marcos Nieto Doncel <\/strong><\/h2>\n<p>This thesis is about the detection and tracking of vanishing points in images, its application to rectification of  planes, and the additional considerations that the road scenario imposes on these topics.  the core element of the dissertation is the obtention of vanishing points, for which a number of contributions are introduced in the field of robust estimation through optimization procedures. Ransac (random sampling and consensus) and the em (expectation-maximization) algorithm are studied for initialization and refinement purposes, respectively. The results show that these proposals use the information of the images more eficiently and with better performance than other approaches in the literature.  two chapters cover the extraction of the required information from the images in order to feed the estimation methods. On the one hand, images of structured environments (those containing rectilinear elements such as corridors, buildings, roads, etc.), Contain line segments that can be detected using the sswms (slice sampler and weighted mean shift) algorithm, proposed in this thesis. This method has been conceived to work in real-time and to represent a trade-off between accuracy and robustness. On the other hand, focusing on the specific road scenario, the information of the images is extracted through more complex procedures, which are based on recursive bayesian classification and model fitting.  finally, the required conditions for the rectification of planes using vanishing points are determined, together with an evaluation of the recovered geometric properties of the plane according to the available information of the scene. Besides, paying special attention to the road scenario, a number of case studies are identified, for which corresponding practical methods for plane rectification are proposed.  along this thesis, results are presented individually for each proposed strategy, comprising feature extraction, vanishing point estimation, road modeling and plane rectification. As a practical application, these strategies are jointly used as a vision-based adas (advanced driver assistance systems) that generates and updates, dynamically, the rectified images and the resulting road model.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Detection and tracking of vanishing points in dynamic environments<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Detection and tracking of vanishing points in dynamic environments <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Marcos Nieto Doncel <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 22\/10\/2010<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Luis Salgado \u00e1lvarez De Sotomayor<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: narciso Garc\u00eda santos <\/li>\n<li>Antonio  Jos\u00e9 Albiol colomer (vocal)<\/li>\n<li>Jes\u00fas Besc\u00f3s cano (vocal)<\/li>\n<li>ferran Marqu\u00e9s acosta (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Marcos Nieto Doncel This thesis is about the detection and tracking of vanishing points in images, its 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