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Implementación de una aplicación de tracking, con el fin de conocer la posición espacial de una persona, mediante el uso de diferentes cámaras y técnicas de visión artificial

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Implementación de una aplicación de tracking, con el fin de conocer la posición espacial de una persona, mediante el uso de diferentes cámaras y técnicas de visión artificial

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dc.contributor.advisor Ivorra Martínez, Eugenio es_ES
dc.contributor.author Beaucamps Santofimia, Eric Fermín es_ES
dc.date.accessioned 2021-10-20T11:05:47Z
dc.date.available 2021-10-20T11:05:47Z
dc.date.created 2021-09-29 es_ES
dc.date.issued 2021-10-20 es_ES
dc.identifier.uri http://hdl.handle.net/10251/175081
dc.description.abstract [ES] The following project aims to implement and analyze different monitoring techniques for one or more users in a known space, thus returning 3D data about their location and movement. In turn, a communication method will be developed through the network, between applications and devices to make use of said movement data. In order to compare different methodologies, three tracking applications will be implemented using different hardware and artificial vision techniques. On the one hand, a semi-professional equipment will be used that will consist of a 3D camera, which has different sensors that allow it to build a depth mapping and in this way obtain the coordinates of the users of the room in a precise way. On the other hand, a much more everyday model will be used that will use ordinary webcams to track the user. In this way, two applications will be implemented using webcams: An application with two cameras, which, through facial recognition techniques, correct calibration and triangulation, is able to obtain results on the user's location in a similar way as with the 3D camera. Another application that uses a single camera, and in a similar way to the previous one, through facial recognition techniques, tracks the user, but this time to calculate the coordinates of the user, different methodology will be used, which will be based on the knowledge of certain parameters initials. To obtain these parameters, an algorithm will be implemented that, based on the interaction with the user and in addition to certain notions about anatomical proportions, are calculated precisely. The objective of the project is not only the implementation of the different tracking applications, but also the results obtained and the advantages and disadvantages of each model will be compared. For this, parameters such as the precision of the model, the processing time between frames or the price will be analyzed. es_ES
dc.description.abstract [EN] The following project aims to implement and analyze different monitoring techniques for one or more users in a known space, thus returning 3D data about their location and movement. In turn, a communication method will be developed through the network, between applications and devices to make use of said movement data. In order to compare different methodologies, three tracking applications will be implemented using different hardware and artificial vision techniques. On the one hand, a semi-professional equipment will be used that will consist of a 3D camera, which has different sensors that allow it to build a depth mapping and in this way obtain the coordinates of the users of the room in a precise way. On the other hand, a much more everyday model will be used that will use ordinary webcams to track the user. In this way, two applications will be implemented using webcams: An application with two cameras, which, through facial recognition techniques, correct calibration and triangulation, is able to obtain results on the user's location in a similar way as with the 3D camera. Another application that uses a single camera, and in a similar way to the previous one, through facial recognition techniques, tracks the user, but this time to calculate the coordinates of the user, different methodology will be used, which will be based on the knowledge of certain parameters initials. To obtain these parameters, an algorithm will be implemented that, based on the interaction with the user and in addition to certain notions about anatomical proportions, are calculated precisely. The objective of the project is not only the implementation of the different tracking applications, but also the results obtained and the advantages and disadvantages of each model will be compared. For this, parameters such as the precision of the model, the processing time between frames or the price will be analyzed. en_EN
dc.format.extent 68 es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Tracking es_ES
dc.subject Clasificador es_ES
dc.subject Stream es_ES
dc.subject Cámara 3D es_ES
dc.subject Webcam es_ES
dc.subject Red neuronal es_ES
dc.subject Descriptores es_ES
dc.subject Frames por segundo es_ES
dc.subject Precisión es_ES
dc.subject Angular es_ES
dc.subject Coordenadas es_ES
dc.subject Tiempo de vuelo es_ES
dc.subject Resolución es_ES
dc.subject Visión artificial. es_ES
dc.subject Classificador en_EN
dc.subject Càmera 3D en_EN
dc.subject Xarxa neuronal en_EN
dc.subject Descriptors en_EN
dc.subject Frames per segon en_EN
dc.subject Precisió en_EN
dc.subject Coordenades en_EN
dc.subject Temps de vol en_EN
dc.subject Resolució en_EN
dc.subject Visió artificial. en_EN
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.other Máster Universitario en Automática e Informática Industrial-Màster Universitari en Automàtica i Informàtica Industrial es_ES
dc.title Implementación de una aplicación de tracking, con el fin de conocer la posición espacial de una persona, mediante el uso de diferentes cámaras y técnicas de visión artificial es_ES
dc.type Tesis de máster es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Beaucamps Santofimia, EF. (2021). Implementación de una aplicación de tracking, con el fin de conocer la posición espacial de una persona, mediante el uso de diferentes cámaras y técnicas de visión artificial. Universitat Politècnica de València. http://hdl.handle.net/10251/175081 es_ES
dc.description.accrualMethod TFGM es_ES
dc.relation.pasarela TFGM\146628 es_ES


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