Projects / Programmes source: ARIS

Pattern recognition

January 1, 1999 - December 31, 2003
Research activity

Code Science Field Subfield
2.06.00  Engineering sciences and technologies  Systems and cybernetics   
2.07.00  Engineering sciences and technologies  Computer science and informatics   
2.08.00  Engineering sciences and technologies  Telecommunications   

Code Science Field
T120  Technological sciences  Systems engineering, computer technology 
T121  Technological sciences  Signal processing 
T125  Technological sciences  Automation, robotics, control engineering 
T180  Technological sciences  Telecommunication engineering 
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
P176  Natural sciences and mathematics  Artificial intelligence 
Evaluation (rules)
source: COBISS
Researchers (11)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  05071  PhD Ankica Babič  Computer science and informatics  Researcher  2001 - 2003  104 
2.  11805  PhD Simon Dobrišek  Computer science and informatics  Researcher  2001 - 2003  281 
3.  06856  PhD Stanislav Kovačič  Systems and cybernetics  Head  2001 - 2003  390 
4.  09580  PhD France Mihelič  Computer science and informatics  Researcher  2001 - 2003  313 
5.  01938  PhD Nikola Pavešič  Systems and cybernetics  Researcher  2001 - 2003  657 
6.  21310  PhD Janez Perš  Systems and cybernetics  Researcher  2001 - 2003  233 
7.  19230  PhD Peter Rogelj  Systems and cybernetics  Researcher  2001 - 2003  118 
8.  21308  PhD Boštjan Vesnicer  Computer science and informatics  Researcher  2001 - 2003  68 
9.  05544  PhD Marjan Vezjak  Systems and cybernetics  Researcher  2001 - 2003  103 
10.  12000  PhD Jerneja Žganec Gros  Computer science and informatics  Researcher  2001 - 2003  290 
11.  19236  PhD Janez Žibert  Computer science and informatics  Researcher  2001 - 2003  265 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  1538  University of Ljubljana, Faculty of Electrical Engineering  Ljubljana  1626965  27,564 
Pattern recognition is a scientific discipline, which develops systems for artificial perception, i.e. machines that use vision, speech and tactile recognition to describe the environment surrounding them. Methods of pattern recognition are being developed in many research areas such as recognition of letters, numbers, written text, fingerprints, and human faces. Other examples, which represent a great research challenge are recognition of 3-D objects, recognition of natural resources from aerial and satellite images, earthquake recognition and prediction, recognition of isolated spoken word, recognition and understanding of continuos speech, speaker recognition. The next interesting areas of research are analysis of electrocardiograms, vector electrocardiograms, electroencephalogram, recognition of disease patterns, especially those based on laboratory and other measured clinical tests’ samples. Our research goal is to focus both on basic and applied research that includes analysis of a) visual patterns, b) speech patterns, c) biomedical patterns, and d) environmental patterns. a) This research topic concerns robot vision, active vision, pose and shape determination, appearance and multiresolution object representation. Distinguished and important research issues are next view planning in relation to the defined task, eye-arm coordination during reaching and grasping objects within the non-calibrated, or weakly-calibrated robot vision systems. b) We concentrate on the language dependant procedures and factors of speech analysis and recognition. That in particular concerns: collecting and documenting Slovene language speech databases and text corpora, determining and selection of suitable basic speech units for speech recognition and synthesis, assembly of specialized vocabularies and lexicons of Slovene language. We can point out additional important research tasks such as development of tools for recognition of various, and for Slovene language, specific acoustic and prosodic measurements and their implementation, as well as determining and developing subsystems for syntactic and semantic decomposition of Slovene speech. c) We are focusing on analysis and recognition of biomedical patterns for diagnostic purposes. Using procedures of machine learning we are going to build knowledge database needed to establish and follow-up diseases. Knowledge database, extracted from biomedical data samples, will be used in the system for automatic diagnosing and development of educational multimedia system for both medical students and physicians. d) The intention is to analyze pollution of rivers and water flows, pollution of air and soil that can be done based on environmental data samples and patterns such as satellite data, patterns from automated measurement stations and manually collected samples.
Most important scientific results Final report
Most important socioeconomically and culturally relevant results Final report
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