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master's thesis
Sustav za detekciju pješaka temeljen na dubokom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:976635
Gobin, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Gobin, F. (2016). Sustav za detekciju pješaka temeljen na dubokom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:976635

Gobin, Filip. "Sustav za detekciju pješaka temeljen na dubokom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:976635

Gobin, Filip. "Sustav za detekciju pješaka temeljen na dubokom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:976635

Gobin, F. (2016). 'Sustav za detekciju pješaka temeljen na dubokom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 03 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:976635

Gobin F. Sustav za detekciju pješaka temeljen na dubokom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 July 03] Available at: https://urn.nsk.hr/urn:nbn:hr:168:976635

F. Gobin, "Sustav za detekciju pješaka temeljen na dubokom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:976635

Metadata
TitleSustav za detekciju pješaka temeljen na dubokom učenju
Title (english)Pedestrian Detection System Based on Deep Learning
AuthorFilip Gobin
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu prikazana je detekcija pješaka temeljena na konvolucijskim neuronskim mrežama koristeći Faster R-CNN sustav. Faster R-CNN je prvo istreniran nad ImageNet bazom slika a zatim je fino ugađan nad slikama pješaka. U radu su testirane dvije baze pješaka, INRIA i Caltech te su prikazani i opisani rezultati detekcije.
Abstract (english)
This thesis deals with pedestrian detection in images based on convolutional neural networks using Faster R-CNN system. Faster R-CNN is trained on ImageNet image set and then fine-tuned on pedestrian images using two datasets: INRIA and Caltech. In the last part of work results and possible improvements are briefly discussed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:976635
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 08:55:32