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Title:OBDELAVA SLIK ZA NENAVADNE DOGODKE S POMOČJO METOD STROJNEGA UČENJA
Authors:ID Avguštin, Marko (Author)
ID Zorman, Milan (Mentor) More about this mentor... New window
Files:.pdf VS_Avgustin_Marko_2011.pdf (1,78 MB)
MD5: 7C758D95FE46EE3141FFB93647091A9D
PID: 20.500.12556/dkum/eb51203c-1c13-4e51-83d1-60f7dd55b3b6
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo vključuje študij literature in obstoječih rešitev na področju računalniškega vida in metod strojnega učenja. Diplomsko delo podrobneje naslavlja obdelavo in procesiranje slik s pomočjo strojnega učenja. V različnih okoljih, npr. v gospodinjstvu, lahko pride do pričakovanih in nepričakovanih dogodkov. V okviru diplomske naloge smo razvili prototipno aplikacijo, ki nadzira dogodke v enem prostoru. Aplikacija beleži dogodke preko kamere in jih nato s pomočjo metod strojnega učenja skuša razpoznati kot pričakovane ali nepričakovane.
Keywords:računalniški vid, strojno učenje, zaznavanje dogodkov, EMGU CV, WEKA
Place of publishing:Maribor
Publisher:[M. Avguštin]
Year of publishing:2011
PID:20.500.12556/DKUM-20384 New window
UDC:004.932:004.8(043.2)
COBISS.SI-ID:15552022 New window
NUK URN:URN:SI:UM:DK:V1US4OUL
Publication date in DKUM:11.10.2011
Views:2607
Downloads:187
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:IMAGE PROCESSING FOR DETECTION OF UNUSUAL EVENTS WITH MACHINE LEARNING TECHNIQUES
Abstract:Diploma thesis includes the study of literature and of existing solutions in the fields of computer vision and in machine learning techniques. Furthermore, the thesis addresses digital image processing with the help of machine learning in greater detail. In different environments, e.g. in household, we can encounter expected but also unexpected – unusual events. We developed a prototype application to detect such unusual events and classify them as expected or unexpected.
Keywords:computer vision, machine learning, event detection, EMGU CV, WEKA


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