Exploració per tema "Object detection"
Ara es mostren els items 9-28 de 36
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Combining geometric and appearance priors for robust homography estimation
(Springer, 2010)
Text en actes de congrés
Accés restringit per política de l'editorialAbstract. The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of ... -
Comparative analysis for detecting objects under cast shadows in video images
(2010)
Text en actes de congrés
Accés obert -
Computer vision methods for sports analytics
(Universitat Politècnica de Catalunya, 2023-07-05)
Treball Final de Grau
Accés obertThe main objective of this thesis is to apply state-of-the-art computer vision algorithms to the field of sports, specifically football. The process involves researching open source algorithms and their implementation to ... -
Countering a drone in a 3D space: Analyzing deep reinforcement learning methods
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-16)
Article
Accés obertUnmanned aerial vehicles (UAV), also known as drones have been used for a variety of reasons and the commercial drone market growth is expected to reach remarkable levels in the near future. However, some drone users can ... -
Crowd counting using density maps
(Universitat Politècnica de Catalunya, 2022-07-01)
Projecte Final de Màster Oficial
Accés obertLaw enforcement agents have to care about the number of people in public areas to ensure security. The problem they have is that they do not have tools to measure the number of people in a fast and precise way. This need ... -
Deep learning for food instance segmentation
(Universitat Politècnica de Catalunya, 2023-01-25)
Projecte Final de Màster Oficial
Accés obertFood object detection and instance segmentation are critical in many applications such as dietary management or food intake monitoring. Food image recognition poses different challenges, such as the existence of a large ... -
Detección de objetos y anotación de imágenes en el iPhone
(Universitat Politècnica de Catalunya, 2013-02-25)
Projecte/Treball Final de Carrera
Accés obert
Realitzat a/amb: Massachusetts Institute of Technology[ANGLÈS] This project is about object detection on a mobile device like iPhone. The iPhone tool allows users to take pictures, annotate them with bounding boxes and object tags and uploading the data to the server. With ... -
Dynamic Semantic Scene Map creation from sensor data to facilitate collaborative robot perception
(Universitat Politècnica de Catalunya, 2020-01-31)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat -
Energy efficient object detection for automotive applications with YOLOv3 and approximate hardware
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertDeep neural networks are the dominant models for perception tasks in the automotive domain, but their high computational complexity makes it difficult to execute them in real time with an acceptable power consumption on ... -
Enhancing drones for law enforcement and capacity monitoring at open large events
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-17)
Article
Accés obertPolice tasks related with law enforcement and citizen protection have gained a very useful asset in drones. Crowded demonstrations, large sporting events, or summer festivals are typical situations when aerial surveillance ... -
Enhancing low-level features with mid-level cues
(Universitat Politècnica de Catalunya, 2015-02-20)
Tesi
Accés obertLocal features have become an essential tool in visual recognition. Much of the progress in computer vision over the past decade has built on simple, local representations such as SIFT or HOG. SIFT in particular shifted ... -
Hierarchical object detection with deep reinforcement learning
(IOS Press, 2017-11-23)
Capítol de llibre
Accés restringit per política de l'editorialDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
Identificación de personas sin mascarilla en cámaras de seguridad
(Universitat Politècnica de Catalunya, 2021-04-27)
Projecte Final de Màster Oficial
Accés restringit per decisió de l'autor
Realitzat a/amb: MakenaiHoy en día, la detección de objetos está presente en muchos aspectos de nuestra vida. Desde aplicaciones relacionadas con la seguridad hasta herramientas de entretenimiento, la detección de objetos juega un papel clave en ... -
Image recognition in smart cities using neuronal networks
(Universitat Politècnica de Catalunya, 2023-02-08)
Treball Final de Grau
Accés restringit per decisió de l'autorL'objectiu principal és desenvolupar un servei de detecció d'incidències en l'entorn urbà que es troben en mal estat on els ciutadans puguin denunciar-ho penjant una fotografia del lloc on es troba. La fotografia serà ... -
Improving object detection in paintings based on time contexts
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés obertThis paper proposes a novel approach to object detection for the Cultural Heritage domain, which relies on combining Deep Learning and semantic metadata about candidate objects extracted from existing sources such as ... -
Intelligent weed management based on object detection neural networks in tomato crops
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-24)
Article
Accés obertAs the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and the conventional approach for weed control compromises its potential productivity. Thus, the automatic detection of the most aggressive ... -
IntPred: flexible, fast, and accurate object detection for autonomous driving systems
(Association for Computing Machinery (ACM), 2020)
Text en actes de congrés
Accés obertDeep Neural-Network (DNN) based Object Detection is one of the most important and time-consuming stages of Autonomous Driving software in cars. In non-critical domains, the performance and energy requirements of object ... -
Machine learning on deep neural networks and object tracking applied to motion of airplanes
(Universitat Politècnica de Catalunya, 2020-09-14)
Treball Final de Grau
Accés obertThe aim of this project is to understand the concepts underlying machine learning and how to implement those. To achieve this purpose, an exhaustive study of the origins of this technology has been made, describing the ... -
Measures and meta-measures for the supervised evaluation of image segmentation
(IEEE Computer Society Publications, 2013)
Text en actes de congrés
Accés obertThis paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ... -
Multi-task Deep Learning models for real-time deployment in embedded systems
(Universitat Politècnica de Catalunya, 2017-05-23)
Projecte Final de Màster Oficial
Accés obert
Realitzat a/amb: Kungl. tekniska högskolan. Skolan för elektroteknik och datavetenskapMultitask Learning (MTL) was conceived as an approach to improve the generalization ability of machine learning models. When applied to neural networks, multitask models take advantage of sharing resources for reducing the ...
