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Projects / Programmes source: ARIS

Computer Vision

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Periods
January 1, 2009 - December 31, 2014
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
Keywords
Computer vision, cognitive vision, machine vision, cognitive systems, visual learning, visual recognition, visual categorisation, mobile robots, biometry
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (19)
no. Code Name and surname Research area Role Period No. of publications
1.  22472  PhD Borut Batagelj  Computer science and informatics  Researcher  2009 - 2014  192 
2.  31252  PhD Narvika Bovcon  Computer science and informatics  Researcher  2009 - 2014  308 
3.  29381  PhD Luka Čehovin Zajc  Computer science and informatics  Technical associate  2009 - 2014  124 
4.  24057  PhD Sanja Fidler  Mathematics  Researcher  2010 - 2012  32 
5.  11161  PhD Aleš Jaklič  Computer science and informatics  Researcher  2009 - 2014  119 
6.  20332  PhD Matjaž Jogan  Computer science and informatics  Researcher  2009 - 2012  45 
7.  22474  PhD Jaka Krivic  Computer science and informatics  Researcher  2011 - 2013  13 
8.  15621  PhD Bojan Kverh  Computer science and informatics  Researcher  2009 - 2011  34 
9.  05896  PhD Aleš Leonardis  Computer science and informatics  Researcher  2009 - 2014  455 
10.  06618  PhD Jasna Maver  Computer science and informatics  Researcher  2009 - 2014  99 
11.  35300  Žiga Pavlin  Computer science and informatics  Junior researcher  2012 - 2014  2 
12.  19226  PhD Peter Peer  Computer science and informatics  Researcher  2009 - 2014  408 
13.  25051  Miha Peternel  Computer science and informatics  Technical associate  2009 - 2013  18 
14.  32043  PhD Robert Ravnik  Computer science and informatics  Researcher  2009 - 2014  23 
15.  18198  PhD Danijel Skočaj  Computer science and informatics  Researcher  2009 - 2014  309 
16.  09581  PhD Franc Solina  Computer science and informatics  Head  2009 - 2014  639 
17.  23401  PhD Luka Šajn  Computer science and informatics  Researcher  2009 - 2014  107 
18.  26011  Aleš Štimec  Computer science and informatics  Technical associate  2009 - 2012  6 
19.  26517  Tadej Zupančič  Computer science and informatics  Technical associate  2009 - 2014  8 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0581  University of Ljubljana, Faculty of Arts  Ljubljana  1627058  97,831 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,235 
Abstract
The research group is involved in basic research in computer vision, with emphasis on visually enabled cognitive systems involving visual learning and recognition. Topics include interpretation of range images, recognition and tracking of objects, scenes, and activities in visual cognitive tasks such as surveillance and smart vision-based detection and positioning using wearable computing in urban environments as well as for mobile robots and cognitive assistants, detection and recognition of human faces and application of computer vision in multimedia and in new media art. Research in the area of visually enabled cognitive systems focuses on various theories, at different levels of abstraction, regarding requirements, architectures, forms of representation, kinds of ontologies and knowledge, and varieties of mechanisms relevant to integration and control of vision systems. In this context, cognitive vision implies functionalities for knowledge representation, learning, reasoning about events and structures, recognition and categorization, and goal specification, all of which are concerned with the semantics of the relationship between the visual agent and its environment. This requires a vast effort in a multidisciplinary understanding of cognitive processes, involving studies in cognitive psychology, neuroscience, and philosophy of mind.
Significance for science
Computer vision is one of the key elements of autonomous intelligent systems which are at the center of interest of European research policy. Computer vision is one of the most important ways of non-contact perception of the environment. Any automatization of this perception requires automatic interpretation of images. Because of continuously increasing size of digitalized image databases in various scientific fields, these information sources can not be handled anymore in a conventional way but call for search and analysis of data using computer vision methods. On the other hand, from various sensors flows a growing life image flow that needs to be analyzed in real-time. Computer vision is therefore important for scientific development in several scientific fields to handle visual information, for example in recent emergence of Digital Heritage. However, we should not limit ourselves just to solving partial problems in various application domains but to study computer vision methods also from the more basic standpoint of cognitive science and artificial intelligence, to answer the old question of whether such problems are solvable bottom-up just by providing ever better processing of input signals or if top-down interventions are needed by providing knowledge of a wider cognitive context. Lately, in that sense one can observe the tendency for interdisciplinary research in artificial intelligence, computer vision and robotics on one side and psychology, neurophysiology, cognitive science and similar disciplines on the other side. The latter disciplines could benefit from efficient computational models of artificial cognitive systems which could facilitate the understanding of natural and human cognitive systems.
Significance for the country
Knowledge of computer vision is important for technological development in Slovenia. Use of robots in industry is often possible only in combination with computer vision. Quality assurance in modern industrial production is very important. A very important dimension in quality is the visual appearance of individual parts or of the final product. Visual quality inspection is important in packaging typical industrial products, pharmaceutical products or even agricultural products. Computer vision is gaining importance also in culture. Since more and more visual data is digitized or produced in digital form, it can be efficiently handled only with the help of computer vision methods. Therefore we already cooperate with the Institute for the protection of cultural heritage of Slovenia, museums and galleries on 3D documentation, analysis and search in visual data bases. This trend in digital heritage is evident also in EU research programs. The importance of computer vision is growing also in post-industrial society. One of the most important problems that we try to solve using image capture and analysis is safety (in transpiration, in public spaces, against terrorism, caring for elderly). The safety issue is often interwoven with other social issues, in particular with privacy. Biometry (faces or other features), analysis of behaviours that are captured by security cameras, control of traffic or people so that help can be provided on time; all of these are tasks for computer vision. Members of our research program are one of the few Slovenian experts who can produce expert opinions on image and video information for Slovenian courts of law. Computer vision is even gaining importance in modern fine arts since using images in user interfaces offers the simplest way of introducing interaction to contemporary art installations. In this area we cooperate with the Department of new media at the Academy of fine arts and design for almost 20 years. New media art represents for our research program an exciting area for experimentation since the development cycles are very short and the feedback from the end users is readily available. Computer vision is also the key technology for cognitive systems. The importance and benefits of cognitive systems can be clearly deducted from the large investments to this area of research, both in private and public sectors. Due to the robustness and generality of artificial cognitive systems, their user friendliness and adaptability, one can expect that this technology will be used in many different application areas ranging from industry to our homes. Due to a high level of knowledge in computer vision, Slovenia has been made visible and recognisable in the international community of vision researchers. With top notch research we contribute to the discipline and are also able to transfer the latest knowledge back to Slovenia. With the international exchange of researchers, in particular doctoral and postdoctoral researchers, we contribute to better education and recognition of Slovenia.
Audiovisual sources (1)
no. Title (with video link) Event Source
1. Computer Vision    Research programme video presentation 
Most important scientific results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
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