{"id":519,"date":"2016-07-17T17:41:21","date_gmt":"2016-07-17T20:41:21","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=519"},"modified":"2016-07-17T17:41:21","modified_gmt":"2016-07-17T20:41:21","slug":"vol9-no1-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no1\/vol9-no1-art5\/","title":{"rendered":"Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas<\/p>\n<p><strong>Autores:<\/strong> Vidal, Fl\u00e1vio de Barros<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Neste trabalho \u00e9 proposto um algoritmo de rastreamento visual de objetos, no qual emprega metodologias de otimiza\u00e7\u00e3o por enxame de part\u00edculas(PSO). O principal objetivo foi o desenvolvimento de uma estrutura para algoritmos de rastreamento em imagem, na qual a conseq\u00fc\u00eancia natural, e necess\u00e1ria, foi o desenvolvimento de melhorias tanto na robustez, quanto nos resultados de trajet\u00f3rias dos objetos de interesse em se rastrear. Com o intuito de aprimorar as t\u00e9cnicas de rastreamento j\u00e1 desenvolvidas, e ainda utilizar de recursos com o aumento da capacidade de processamento atuais, optou-se pelo o acoplamento do algoritmo com filtragem estoc\u00e1stica \u00e0s t\u00e9cnicas de PSO. Nas quais tornaram o algoritmo modificado com maior robustez e com melhorias na descri\u00e7\u00e3o de trajet\u00f3rias dos objetos rastreados.<\/p>\n<p><strong>Palavras-chave:<\/strong> Rastreamento de objetos em imagens; otimiza\u00e7\u00e3o por enxame de part\u00edculas; window-matching<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 14<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol9-no1-art5\">10.21528\/lmln-vol9-no1-art5<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no1-art5.pdf\" rel=\"\">vol9-no1-art5.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no1-art5.bib\" rel=\"\">vol9-no1-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas Autores: Vidal, Fl\u00e1vio de Barros Resumo: Neste trabalho \u00e9 proposto um algoritmo de rastreamento visual de objetos, no qual emprega metodologias de otimiza\u00e7\u00e3o por enxame de part\u00edculas(PSO). O principal <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no1\/vol9-no1-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":509,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-519","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no1\/vol9-no1-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Rastreamento Visual de Objetos Utilizando Otimiza\u00e7\u00e3o por Enxame de Part\u00edculas Autores: Vidal, Fl\u00e1vio de Barros Resumo: Neste trabalho \u00e9 proposto um algoritmo de rastreamento visual de objetos, no qual emprega metodologias de otimiza\u00e7\u00e3o por enxame de part\u00edculas(PSO). 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