Resultats globals: 6 registres trobats en 0.04 segons.
Documents de recerca, 2 registres trobats
Articles, 4 registres trobats
Documents de recerca 2 registres trobats  
1.
11 p, 15.8 MB YOLO Object Detector for Onboard Driving Images / Soto i Serrano, Albert ; López Peña, Antonio M. (Antonio Manuel), dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
With the evolution of artificial intelligence and, specially, machine learning, tech and car manufacturing companies are in research of the car of the future. Along with the arrival of new powerful hardware, deep learning is expected to be one of the most outstanding fields in the automotive sector. [...]
Con la evolución de la inteligencia artificial y, especialmente, el aprendizaje computacional, las empresas fabricantes de automóviles y de tecnología están en plena investigación del coche del futuro. [...]
Amb l'evolució de la intel·ligència artificial i, especialment, l'aprenentatge computacional, les empreses fabricants d'automòbils i de tecnologia estan en plena investigació del cotxe del futur. [...]

2017-06-28
Enginyeria Informàtica [958]  
2.
139 p, 7.8 MB Hierarchical multiresolution models for fast object detection / Pedersoli, Marco ; Gonzàlez i Sabaté, Jordi, dir. ; Roca, Xavier ; Universitat Autònoma de Barcelona. Departament de Ciències de la Computació
Dia a dia, la capacitat de detectar i reconèixer objectes en imatges automàticament es fa cada vegada més important. Des dels sistemes de seguretat i robots, als telèfons d'última generació i la realitat augmentada, tot dispositiu intel·ligent necessita conèixer el significat semàntic de la imatge. [...]
Día a día, la capacidad de detectar y reconocer objetos en imágenes automáticamente se hace cada vez más importante. Desde los sistemas de seguridad y los robots, a los teléfonos de última generación y la realidad aumentada, cada dispositivo inteligente necesita conocer el significado semántico de la imagen. [...]
Day by day, the ability to automatically detect and recognize objects in unconstrained images is becoming more and more important. From security systems and robots, to smart phones and augmented reality, every intelligent device needs to know the semantic meaning of an image. [...]

[Barcelona] : Universitat Autònoma de Barcelona, 2015  

Articles 4 registres trobats  
1.
23 p, 1.9 MB Efficient Labelling of Pedestrian Supervisions / Htike, Kyaw Kyaw (UCSI University (Kuala Lumpur). School of Information Technology)
Object detection is a fundamental goal to achieve intelligent visual perception by computers due to the fact that objects are the basic building blocks to achieve higher level image understanding. Among the numerous categories of objects in the real-world, pedestrians are among the most important due to several potential benefits brought about by successful pedestrian detection. [...]
2016 - 10.5565/rev/elcvia.881
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 77-99 (Regular Issue)  
2.
2 p, 359.9 KB An adaptive and integrated multimodal sensing and processing framework for long-range moving object detection and classification / Wang, Tao
In applications such as surveillance, inspection and traffic monitoring, long-range detection and classification of targets (vehicles, humans, etc) is a highly desired feature for a sensing system. A single modality will no longer provide the required performance due to the challenges in detection and classification with low resolutions, noisy sensor signals, and various environmental factors due to large sensing distances. [...]
2014 - 10.5565/rev/elcvia.613
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 67-68  
3.
10 p, 3.3 MB Detection and Classification of Multiple Objects using an RGB-D Sensor and Linear Spatial Pyramid Matching / Dimitriou, Michalis (Technological Educational Institute of Crete. Applied Informatics and Multimedia Department) ; Kounalakis, Tsampikos (Brunel University. Departament of Electronic and Computer Engineering) ; Vidakis, Nikolaos (Technological Educational Institute of Crete. Applied Informatics and Multimedia Department) ; Triantafyllidis, Georgios (Aalborg University Copenhagen. Medialogy Section)
This paper presents a complete system for multiple object detection and classification in a 3D scene using an RGB-D sensor such as the Microsoft Kinect sensor. Successful multiple object detection and classification are crucial features in many 3D computer vision applications. [...]
2013 - 10.5565/rev/elcvia.523
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 12, Núm. 2 (2013) , p. 78-87  
4.
14 p, 590.0 KB A robust feature tracker for active surveillance of outdoor scenes / Foresti, G. L. (University of Udine (Itàlia). Departement of Mathematics and Computer Science) ; Micheloni, C. (University of Udine (Itàlia). Departement of Mathematics and Computer Science)
In this paper, we propose a robust real-time object detection system for outdoor image sequences acquired by an active camera. The system is able to compensate background changes due to the camera motion and to detect mobile objects in the scene. [...]
2002 - 10.5565/rev/elcvia.60
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 1 n. 1 (2002) p. 21-34  

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