Exploració per tema "Object detection"
Ara es mostren els items 26-36 de 36
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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 ... -
Object recognition in urban hyperspectral images using binary partition tree representation
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Text en actes de congrés
Accés restringit per política de l'editorialIn this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ... -
Pedestrian detection and tracking in urban mobility from different perspectives
(Universitat Politècnica de Catalunya, 2023-05-25)
Treball Final de Grau
Accés obertThis thesis is about exploring the possibility to make a system that could be implemented in e-scooters to help their users to use them in a secure manner. The objective of this thesis is to find if it is possible to train ... -
Real-time logo detection in brand-related social media images
(Springer, 2019)
Text en actes de congrés
Accés obertThis paper presents a work consisting in using deep convolutional neural networks (CNNs) for real-time logo detection in brand-related social media images. The final goal is to facilitate searching and discovering ... -
Region-based face detection, segmentation and tracking. framework definition and application to other objects
(Universitat Politècnica de Catalunya, 2010-12-17)
Tesi
Accés obertOne of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ... -
Robust and real-time detection and tracking of moving objects with minimum 2d LiDAR information to advance autonomous cargo handling in ports
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-29)
Article
Accés obertDetecting and tracking moving objects (DATMO) is an essential component for autonomous driving and transportation. In this paper, we present a computationally low-cost and robust DATMO system which uses as input only 2D ... -
Unidimensional multiscale local features for object detection under rotation and mild occlusions
(Springer, 2007)
Text en actes de congrés
Accés restringit per política de l'editorialIn this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows ... -
Work-efficient parallel non-maximum suppression kernels
(Wiley Heyden, 2020-08-21)
Article
Accés obertIn the context of object detection, sliding-window classifiers and single-shot convolutional neural network (CNN) meta-architectures typically yield multiple overlapping candidate windows with similar high scores around ... -
Worst case execution time and power estimation of multicore and GPU software: a pedestrian detection use case
(Association for Computing Machinery (ACM), 2023)
Comunicació de congrés
Accés obertWorst Case Execution Time estimation of software running on parallel platforms is a challenging task, due to resource interference of other tasks and the complexity of the underlying CPU and GPU hardware architectures. ...
