| Records |
| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; N. Grammalidis |
| Title |
Survey of 3D Human Body Representations |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Encyclopedia of Information Science and Technology, 1(5):2696–2701 |
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no |
Call Number  |
ADAS @ adas @ SAM2005a |
Serial |
497 |
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| Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
| Title |
Prior Knowledge Based Motion Model Representation |
Type |
Book Chapter |
| Year |
2009 |
Publication |
Progress in Computer Vision and Image Analysis |
Abbreviated Journal |
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| Volume |
16 |
Issue |
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Editor |
Horst Bunke; JuanJose Villanueva; Gemma Sanchez |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SAM2009 |
Serial |
1235 |
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| Author |
Angel Sappa; Boris X. Vintimilla |
| Title |
Edge Point Linking by Means of Global and Local Schemes |
Type |
Book Chapter |
| Year |
2008 |
Publication |
in Signal Processing for Image Enhancement and Multimedia Processing |
Abbreviated Journal |
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| Volume |
11 |
Issue |
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Pages |
115–125 |
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| Publisher |
Springer |
Place of Publication |
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Editor |
E. Damiani |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SaV2008 |
Serial |
938 |
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| Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
| Title |
Stereo Vision Camera Pose Estimation for On-Board Applications |
Type |
Book Chapter |
| Year |
2007 |
Publication |
Scene Reconstruction, Pose Estimation and Traking |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
39-50 |
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Thesis |
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| Publisher |
Rustam Stolking |
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Edition |
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ISBN |
978-3-902613-06-6 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SGD2007 |
Serial |
797 |
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| Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nikolay; B. Ter Haar Romeny; Juan J. Villanueva; M. Viergerver |
| Title |
New improvements in the multiscale analysis of trabecular bone patterns |
Type |
Book Chapter |
| Year |
2000 |
Publication |
Pattern Recognition and Applications |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
251-260 |
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| Publisher |
IOS Press |
Place of Publication |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ |
Serial |
3418 |
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| Author |
Victoria Ruiz; Angel Sanchez; Jose F. Velez; Bogdan Raducanu |
| Title |
Waste Classification with Small Datasets and Limited Resources |
Type |
Book Chapter |
| Year |
2022 |
Publication |
ICT Applications for Smart Cities. Intelligent Systems Reference Library |
Abbreviated Journal |
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| Volume |
224 |
Issue |
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Pages |
185-203 |
| Keywords |
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| Abstract |
Automatic waste recycling has become a very important societal challenge nowadays, raising people’s awareness for a cleaner environment and a more sustainable lifestyle. With the transition to Smart Cities, and thanks to advanced ICT solutions, this problem has received a new impulse. The waste recycling focus has shifted from general waste treating facilities to an individual responsibility, where each person should become aware of selective waste separation. The surge of the mobile devices, accompanied by a significant increase in computation power, has potentiated and facilitated this individual role. An automated image-based waste classification mechanism can help with a more efficient recycling and a reduction of contamination from residuals. Despite the good results achieved with the deep learning methodologies for this task, the Achille’s heel is that they require large neural networks which need significant computational resources for training and therefore are not suitable for mobile devices. To circumvent this apparently intractable problem, we will rely on knowledge distillation in order to transfer the network’s knowledge from a larger network (called ‘teacher’) to a smaller, more compact one, (referred as ‘student’) and thus making it possible the task of image classification on a device with limited resources. For evaluation, we considered as ‘teachers’ large architectures such as InceptionResNet or DenseNet and as ‘students’, several configurations of the MobileNets. We used the publicly available TrashNet dataset to demonstrate that the distillation process does not significantly affect system’s performance (e.g. classification accuracy) of the student network. |
| Address |
September 2022 |
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| Publisher |
Springer |
Place of Publication |
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ISRL |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
978-3-031-06306-0 |
Medium |
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| Notes |
LAMP |
Approved |
no |
| Call Number |
Admin @ si @ |
Serial |
3813 |
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| Author |
Maria Alberich-Carramiñana; Guillem Alenya; Juan Andrade; E. Martinez; Carme Torras |
| Title |
Affine Epipolar Direction from Two Views of a Planar Contour |
Type |
Book Chapter |
| Year |
2006 |
Publication |
Proceedings of the Advanced Concepts for Intelligent Vision Systems Conference, LNCS 4179: 944–955 |
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| Address |
Antwerp (Belgium) |
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| Notes |
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Approved |
no |
| Call Number |
Admin @ si @ AAA2006 |
Serial |
661 |
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| Author |
Maryam Asadi-Aghbolaghi; Albert Clapes; Marco Bellantonio; Hugo Jair Escalante; Victor Ponce; Xavier Baro; Isabelle Guyon; Shohreh Kasaei; Sergio Escalera |
| Title |
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey |
Type |
Book Chapter |
| Year |
2017 |
Publication |
Gesture Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
539-578 |
| Keywords |
Action recognition; Gesture recognition; Deep learning architectures; Fusion strategies |
| Abstract |
Interest in automatic action and gesture recognition has grown considerably in the last few years. This is due in part to the large number of application domains for this type of technology. As in many other computer vision areas, deep learning based methods have quickly become a reference methodology for obtaining state-of-the-art performance in both tasks. This chapter is a survey of current deep learning based methodologies for action and gesture recognition in sequences of images. The survey reviews both fundamental and cutting edge methodologies reported in the last few years. We introduce a taxonomy that summarizes important aspects of deep learning for approaching both tasks. Details of the proposed architectures, fusion strategies, main datasets, and competitions are reviewed. Also, we summarize and discuss the main works proposed so far with particular interest on how they treat the temporal dimension of data, their highlighting features, and opportunities and challenges for future research. To the best of our knowledge this is the first survey in the topic. We foresee this survey will become a reference in this ever dynamic field of research. |
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| Notes |
HUPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ ACB2017a |
Serial |
2981 |
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| Author |
Murad Al Haj; Carles Fernandez; Zhanwu Xiong; Ivan Huerta; Jordi Gonzalez; Xavier Roca |
| Title |
Beyond the Static Camera: Issues and Trends in Active Vision |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Visual Analysis of Humans: Looking at People |
Abbreviated Journal |
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| Volume |
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Issue |
2 |
Pages |
11-30 |
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| Abstract |
Maximizing both the area coverage and the resolution per target is highly desirable in many applications of computer vision. However, with a limited number of cameras viewing a scene, the two objectives are contradictory. This chapter is dedicated to active vision systems, trying to achieve a trade-off between these two aims and examining the use of high-level reasoning in such scenarios. The chapter starts by introducing different approaches to active cameras configurations. Later, a single active camera system to track a moving object is developed, offering the reader first-hand understanding of the issues involved. Another section discusses practical considerations in building an active vision platform, taking as an example a multi-camera system developed for a European project. The last section of the chapter reflects upon the future trends of using semantic factors to drive smartly coordinated active systems. |
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| Publisher |
Springer London |
Place of Publication |
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Editor |
Th.B. Moeslund; A. Hilton; V. Krüger; L. Sigal |
| Language |
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Edition |
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ISBN |
978-0-85729-996-3 |
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| Notes |
ISE |
Approved |
no |
| Call Number |
Admin @ si @ AFX2011 |
Serial |
1814 |
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| Author |
Jon Almazan; Lluis Gomez; Suman Ghosh; Ernest Valveny; Dimosthenis Karatzas |
| Title |
WATTS: A common representation of word images and strings using embedded attributes for text recognition and retrieval |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
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Pages |
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| Publisher |
Springer |
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Editor |
Analysis”, K. Alahari; C.V. Jawahar |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ AGG2020 |
Serial |
3496 |
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| Author |
Ariel Amato; Ivan Huerta; Mikhail Mozerov; Xavier Roca; Jordi Gonzalez |
| Title |
Moving Cast Shadows Detection Methods for Video Surveillance Applications |
Type |
Book Chapter |
| Year |
2014 |
Publication |
Augmented Vision and Reality |
Abbreviated Journal |
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| Volume |
6 |
Issue |
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Pages |
23-47 |
| Keywords |
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| Abstract |
Moving cast shadows are a major concern in today’s performance from broad range of many vision-based surveillance applications because they highly difficult the object classification task. Several shadow detection methods have been reported in the literature during the last years. They are mainly divided into two domains. One usually works with static images, whereas the second one uses image sequences, namely video content. In spite of the fact that both cases can be analogously analyzed, there is a difference in the application field. The first case, shadow detection methods can be exploited in order to obtain additional geometric and semantic cues about shape and position of its casting object (‘shape from shadows’) as well as the localization of the light source. While in the second one, the main purpose is usually change detection, scene matching or surveillance (usually in a background subtraction context). Shadows can in fact modify in a negative way the shape and color of the target object and therefore affect the performance of scene analysis and interpretation in many applications. This chapter wills mainly reviews shadow detection methods as well as their taxonomies related with the second case, thus aiming at those shadows which are associated with moving objects (moving shadows). |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2190-5916 |
ISBN |
978-3-642-37840-9 |
Medium |
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| Notes |
ISE; 605.203; 600.049; 302.018; 302.012; 600.078 |
Approved |
no |
| Call Number |
Admin @ si @ AHM2014 |
Serial |
2223 |
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| Author |
Jose Manuel Alvarez; Antonio Lopez |
| Title |
Photometric Invariance by Machine Learning |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Color in Computer Vision: Fundamentals and Applications |
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| Volume |
7 |
Issue |
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Pages |
113-134 |
| Keywords |
road detection |
| Abstract |
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| Publisher |
iConcept Press Ltd |
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Editor |
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan-Mark Geusebroek |
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ISBN |
978-0-470-89084-4 |
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ADAS |
Approved |
no |
| Call Number |
Admin @ si @ AlL2012 |
Serial |
2186 |
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| Author |
David Aldavert; Ricardo Toledo |
| Title |
Stereo Vision Local Map Alignment for Robot Environment Mapping |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Robot Vision Second International Workshop, RobVis |
Abbreviated Journal |
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| Volume |
4931 |
Issue |
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Pages |
111–124 |
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| Address |
Auckland (New Zealand) |
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LNCS |
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ADAS |
Approved |
no |
| Call Number |
Admin @ si @ AlT2008 |
Serial |
1100 |
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| Author |
Cristhian Aguilera; M.Ramos; Angel Sappa |
| Title |
Simulated Annealing: A Novel Application of Image Processing in the Wood Area |
Type |
Book Chapter |
| Year |
2012 |
Publication |
Simulated Annealing – Advances, Applications and Hybridizations |
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Pages |
91-104 |
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Editor |
Marcos de Sales Guerra Tsuzuki |
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ISBN |
978-953-51-0710-1 |
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ADAS |
Approved |
no |
| Call Number |
Admin @ si @ ARS2012 |
Serial |
2156 |
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| Author |
Juan Andrade; T. Alejandra Vidal; A. Sanfeliu |
| Title |
Stochastic state estimation for simultaneous localization and map building in mobile robotics |
Type |
Book Chapter |
| Year |
2005 |
Publication |
Vedran Kordic, Aleksandar Lazinica, and Munir Merdan (Eds.), Cutting Edge Robotics, Advanced Robotic Systems Press, 3.3:223–242 |
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Approved |
no |
| Call Number |
Admin @ si @ AVS2005a |
Serial |
565 |
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