{"id":1234,"date":"2020-09-08T16:58:32","date_gmt":"2020-09-08T19:58:32","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1234"},"modified":"2021-10-19T15:29:42","modified_gmt":"2021-10-19T15:29:42","slug":"vol18-no1-art1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art1\/","title":{"rendered":"Aerial Human Activity Recognition Through a Cognitive Architecture and a New Automata Proposal"},"content":{"rendered":"<p><strong><font size=\"+2\">Pinto, Milena F. <a href=\"http:\/\/orcid.org\/0000-0001-6916-700X\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>,\u00a0Melo, A.G.\u00a0<a href=\"http:\/\/orcid.org\/0000-0001-8227-6462\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>,\u00a0Marcato, A.L.M.\u00a0<a href=\"http:\/\/orcid.org\/0000-0001-9171-3089\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>,\u00a0Moraes, C.A.\u00a0<a href=\"http:\/\/orcid.org\/0000-0001-8094-6485\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a><\/strong><\/p>\n<p align=\"justify\"><strong>Abstract:\u00a0<\/strong>Video surveillance often involves several actors in multiple interactions and modelling complex activities becomes a challenge, especially in real environments. When applying autonomous video surveillance, object recognition techniques are used to produce symbolic information related to the information present in a scene. An automaton is a specialized structure capable of accepting or rejecting those symbols producing an efficient computation structure for these types of data processing. This research work presents an innovative structure for the well-known Weighted Automata to organize the information from sensors, grouping these measurements into a symbolic representation of actions that are happening in the real world. This work also proposes a hierarchical architecture formed by a multilevel sensorial system comprised of low, middle and high levels to perceive the environment and to comprehend scenes. The proposed architecture is designed to operate in a decentralized way and onboard of the Unmanned Aerial Vehicles (UAVs). The experiments showed that this system updated effectively the semantic structure given the sequence of information and demonstrated the automaton and architecture effectiveness.<\/p>\n<p><strong>Keywords:<\/strong> Automata, Cognitive Systems, Human Interaction, Unmanned Aerial Vehicle.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol18-no1-art1\">10.21528\/lnlm-vol18-no1-art1<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/vol18-no1-art1.pdf\" rel=\"\">vol18-no1-art1.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/vol18-no1-art1.bib\" rel=\"\">vol18-no1-art1.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Pinto, Milena F. ,\u00a0Melo, A.G.\u00a0,\u00a0Marcato, A.L.M.\u00a0,\u00a0Moraes, C.A.\u00a0 Abstract:\u00a0Video surveillance often involves several actors in multiple interactions and modelling complex activities becomes a challenge, especially in real environments. When applying autonomous video surveillance, object recognition techniques are used to produce symbolic <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol18-no1\/vol18-no1-art1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1232,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1234","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>Aerial Human Activity Recognition Through a Cognitive Architecture and a New Automata Proposal - 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\/vol18-no1\/vol18-no1-art1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Aerial Human Activity Recognition Through a Cognitive Architecture and a New Automata Proposal - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Pinto, Milena F. ,\u00a0Melo, A.G.\u00a0,\u00a0Marcato, A.L.M.\u00a0,\u00a0Moraes, C.A.\u00a0 Abstract:\u00a0Video surveillance often involves several actors in multiple interactions and modelling complex activities becomes a challenge, especially in real environments. 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