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Title:Napredki v prepoznavanju objektov in sledenju v realnem času: Povezava med računalniškim vidom in umetno inteligenco : diplomsko delo
Authors:ID Petauer, Kristjan (Author)
ID Kokol, Peter (Mentor) More about this mentor... New window
Files:.pdf VS_Petauer_Kristjan_2023.pdf (2,77 MB)
MD5: 86776242566B5E8B1F15DAE4060D098D
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo obravnava področje prepoznavanja objektov in sledenja v realnem času, s povezavo med računalniškim vidom in umetno inteligenco. Opiše metode za prepoznavanje in sledenje objektom, njihovo integracijo v naprave, uporabo, prednosti, slabosti, tehnične in etične ovire ter praktični primer uporabe s Pythonom, OpenCV in NumPy.
Keywords:Računalniški vid, umetna inteligenca, prepoznava objektov, etične ovire
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[K. Petauer]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (X, 47.))
PID:20.500.12556/DKUM-86012-a2f6eb27-d686-e639-833a-81aa7c40a60d New window
UDC:004.8(043.2)
COBISS.SI-ID:181678595 New window
Publication date in DKUM:03.11.2023
Views:863
Downloads:91
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.09.2023

Secondary language

Language:English
Title:Advances in real-time object recognition and tracking: the connection between computer vision and AI
Abstract:The thesis addresses the area of object recognition and real-time tracking with the connection between computer vision and artificial intelligence. It describes methods for object recognition and tracking, their integration into devices, usage, advantages, disadvantages, technical and ethical barriers, and a practical example using Python, OpenCV, and NumPy.
Keywords:computer vision, artificial intelligence, object recognition, ethical barriers


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