Exploració per tema "object detection"
Ara es mostren els items 3-22 de 25
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Boosted Random ferns for object detection
(2018-02-01)
Article
Accés obertIn this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce ... -
Content-based Video Summarization in Object Maps
(Universitat Politècnica de Catalunya / Technische Universität Wien, 2013-09-10)
Projecte/Treball Final de Carrera
Accés obert
Realitzat a/amb: Technische Universität Wien[ANGLÈS] The amount of digital video content available in the web is constantly increasing. Its handling requires efficient technologies: text search on large databases provides users a great amount of videos; the content ... -
Contextless Object Recognition with Shape-enriched SIFT and Bags of Features
(Universitat Politècnica de Catalunya, 2014-08-28)
Projecte/Treball Final de Carrera
Accés obertCurrently, there are highly competitive results in the field of object recognition based on the aggregation of point-based features [4, 26, 5, 6]. The aggregation process, typically with an average or max-pooling of the ... -
Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios
(IEEE Press, 2017)
Text en actes de congrés
Accés obertVehicle detection and tracking is a core ingredient for developing autonomous driving applications in urban scenarios. Recent image-based Deep Learning (DL) techniques are obtaining breakthrough results in these perceptive ... -
DetectMe: object detection on the iPhone
(Universitat Politècnica de Catalunya, 2013-12-19)
Projecte/Treball Final de Carrera
Accés obert[ANGLÈS] DetectMe is one of the firsts apps to do the complete process of object detection on the iOS devices. With the app, the user is able to train a detector to detect any kind of objects and later on execute it on ... -
Ego-Object Discovery in Lifelogging Datasets
(Universitat Politècnica de Catalunya, 2015-02)
Projecte Final de Màster Oficial
Accés obertEn aquest treball proposem un mètode semi-supervisat per el descobriment d'objectes rellevants en seqüències d'imatges adquirides amb càmeres passives portàtils. Addicionalment, presentem un nou dataset d'imatges anotades ... -
Fast online learning and detection of natural landmarks for autonomous aerial robots
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialWe present a method for efficiently detecting natural landmarks that can handle scenes with highly repetitive patterns and targets progressively changing its appearance. At the core of our approach lies a Random Ferns ... -
Learning RGB-D descriptors of garment parts for informed robot grasping
(2014)
Article
Accés obertRobotic handling of textile objects in household environments is an emerging application that has recently received considerable attention thanks to the development of domestic robots. Most current approaches follow a ... -
Low cost, robust and real time system for detecting and tracking moving objects to automate cargo handling in port terminals
(Springer, 2015)
Text en actes de congrés
Accés obertThe presented paper addresses the problem of detecting and tracking moving objects for autonomous cargo handling in port terminals using a perception system which input data is a single layer laser scanner. A computationally ... -
Object detection and recognition: from saliency prediction to one-shot trained detectors
(Universitat Politècnica de Catalunya, 2014-09-03)
Projecte/Treball Final de Carrera
Accés obert[ANGLÈS] Computer vision capabilities have started to become available in smart devices this last years. The rapid growth of the smartphone world along with the big advance of the computer vision field in the last years ... -
Object recognition applied to mobile robotics
(Universitat Politècnica de Catalunya, 2012-09-19)
Projecte/Treball Final de Carrera
Accés obertInvestigació de les possibilitats dels mètodes actuals de detecció i reconeixement d'objectes. Adaptació del millor mètode seleccionat (MOPED) per tal de solucionar els problemes de la competició de robots domèstics "Robocup ... -
Online human-assisted learning using random ferns
(2012)
Text en actes de congrés
Accés obertWe present an Online Random Ferns (ORFs) classifier that progressively learns and builds enhanced models of object appearances. During the learning process, we allow the human intervention to assist the classifier and ... -
Pedestrian Detection using a boosted cascade of Histogram of Oriented Gradients.
(Universitat Politècnica de Catalunya, 2014-09-10)
Projecte/Treball Final de Carrera
Accés obert[ANGLÈS] Pedestrian detection has been an active area of research in recent years; its interest relies on the potential positive impact on quality of life of the related applications (surveillance systems, automotive safety, ... -
Real time people detection combining appearance and depth image spaces using boosted random ferns
(Springer, 2015)
Text en actes de congrés
Accés obertThis paper presents a robust and real-time method for people detection in urban and crowed environments. Unlike other conventional methods which either focus on single features or compute multiple and independent classifiers ... -
Recognizing point clouds using conditional random fields
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés obertDetecting objects in cluttered scenes is a necessary step for many robotic tasks and facilitates the interaction of the robot with its environment. Because of the availability of efficient 3D sensing devices as the Kinect, ... -
Robot-aided cloth classification using depth information and CNNs
(2016)
Text en actes de congrés
Accés obertWe present a system to deal with the problem of classifying garments from a pile of clothes. This system uses a robot arm to extract a garment and show it to a depth camera. Using only depth images of a partial view of the ... -
Robots domésticos: reconocimiento de estancias mediante detección de objetos
(Universitat Politècnica de Catalunya, 2016-07-22)
Projecte/Treball Final de Carrera
Accés obertThis project come up from the idea of giving to the current and future domestic robots a tool that allows them to place properly inside a home and adapt their behaviour, adjusting it to the activities and requirements of ... -
Robust color contour object detection invariant to shadows
(Springer Verlag, 2007)
Capítol de llibre
Accés obertIn this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that emphasizes material changes and a contour-based ... -
Semantic segmentation priors for object discovery
(IEEE Press, 2016)
Text en actes de congrés
Accés obertReliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such ... -
Shared random Ferns for efficient detection of multiple categories
(2010)
Text en actes de congrés
Accés obertWe propose a new algorithm for detecting multiple object categories that exploits the fact that different categories may share common features but with different geometric distributions. This yields an efficient detector ...
