{"id":14538,"date":"2018-03-09T09:01:16","date_gmt":"2018-03-09T09:01:16","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/seguimiento-visual-robusto-en-entornos-complejos\/"},"modified":"2018-03-09T09:01:16","modified_gmt":"2018-03-09T09:01:16","slug":"seguimiento-visual-robusto-en-entornos-complejos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/seguimiento-visual-robusto-en-entornos-complejos\/","title":{"rendered":"Seguimiento visual robusto en entornos complejos"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Javier Varona G\u00f3mez <\/strong><\/h2>\n<p>El seguimiento visual de objetos se puede expresar como un problema de estimacion, donde se desea encontrar los valores que describen la trayectoria de los objetos, pero solo se dispone de observaciones. En esta tesis se presentan dos aproximaciones para resolver este problema en aplicaciones complejas de vision por computador. La primera aproximacion se basa en la utilizacion de la informacion del contexto donde tiene lugar el seguimiento. como resultado se presenta una aplicaci\u00f3n de anotacion de video: la reconstruccion 3d de jugadas de un partido de futbol.  escogiendo un esquema bayesiano de seguimiento visual, la segunda aproximacion es un algoritmo que utiliza como observaciones los valores de apariencia de pixels de la imangen. Este algoritmo, denominado itrack, se basaen la construccion y ajuste de un modelo estadistico de la apariencia del objeto que se desea seguir. Para mostrar la utilidad del nuevo algoritmo se presenta una aplicaci\u00f3n de video vigilancia automatica. Este problema es dificil de resolver debido a la diversidad de escenarios y de condiciones de adquisici\u00f3n.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Seguimiento visual robusto en entornos complejos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Seguimiento visual robusto en entornos complejos <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Javier Varona G\u00f3mez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 14\/12\/2001<\/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>Juan  Jose Villanueva Pipa\u00f3n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jaime Lopez krahe <\/li>\n<li>Francisco Jos\u00e9 Perales l\u00f3pez (vocal)<\/li>\n<li>judit Martinez bauza (vocal)<\/li>\n<li> Serrat i gual joan (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Javier Varona G\u00f3mez El seguimiento visual de objetos se puede expresar como un problema de estimacion, donde [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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