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Title:
ŠTETJE PEŠCEV S POMOČJO RAČUNALNIŠKEGA VIDA
Authors:
ID
Grosek, Klemen
(Author)
ID
Kramberger, Iztok
(Mentor)
More about this mentor...
Files:
UNI_Grosek_Klemen_2011.pdf
(3,06 MB)
MD5: 32ED97D398C4C3199BCB3DA4E42DE1A0
PID:
20.500.12556/dkum/c41cc43b-438e-4e55-bf60-b448f2ffe604
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V tem diplomskem delu se ukvarjamo z razvojem števca prehodov ljudi, ki temelji na podlagi računalniškega vida. Na začetku predstavimo že obstoječe možne rešitve štetja, zatem pa razvijemo in implementiramo lasten algoritem. V diplomskem delu so opisane vse ključne funkcije potrebne za uspešno prepoznavo objektov na sekvenci slik ter sledenja njihovem gibanju. Z razvito aplikacijo smo dosegli natančnost štetja prehodov nad 80 %.
Keywords:
digitalna obdelava slik
,
računalniški vid
,
štetje prehodov ljudi
,
IP kamera
,
prepoznava objektov
Place of publishing:
Rogatec
Publisher:
[K. Grosek]
Year of publishing:
2011
PID:
20.500.12556/DKUM-17823
UDC:
004.93:621.39(043.2)
COBISS.SI-ID:
15088662
NUK URN:
URN:SI:UM:DK:ERJRPHDH
Publication date in DKUM:
29.03.2011
Views:
2570
Downloads:
188
Metadata:
Categories:
KTFMB - FERI
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:
GROSEK, Klemen, 2011,
ŠTETJE PEŠCEV S POMOČJO RAČUNALNIŠKEGA VIDA
[online]. Bachelor’s thesis. Rogatec : K. Grosek. [Accessed 26 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=17823
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Secondary language
Language:
English
Title:
COMPUTER BASED PEDESTRIAN COUNTING
Abstract:
In this thesis we deal with development of pedestrian counting system, based on computer vision. Firstly, exsisting methods of pedestrian counting are reviewed, afterwords we develop and implement our own computare vision based algorithm. In this thesis all the fundamental functions needed for object recognition and object tracking are described. With the developed application we acheaved accuracy of pedestrian counting more than 80 %.
Keywords:
digital image processing
,
computer vision
,
pedestrian counting
,
IP camera
,
object recognition
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