prikaz prve stranice dokumenta ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION
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doctoral thesis
ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION
Split: University of Split, Faculty of Maritime Studies, 2024. urn:nbn:hr:164:589129
Petković, Miro
University of Split
Faculty of Maritime Studies
Department of maritime electr. and. inform. technologies

Institutional repository: Repository - Faculty of Maritime Studies - Split

Cite this document

Petković, M. (2024). ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION (Doctoral thesis). Split: University of Split, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:164:589129

Petković, Miro. "ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2024. https://urn.nsk.hr/urn:nbn:hr:164:589129

Petković, Miro. "ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION." Doctoral thesis, University of Split, Faculty of Maritime Studies, 2024. https://urn.nsk.hr/urn:nbn:hr:164:589129

Petković, M. (2024). 'ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION', Doctoral thesis, University of Split, Faculty of Maritime Studies, accessed 22 March 2025, https://urn.nsk.hr/urn:nbn:hr:164:589129

Petković M. ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION [Doctoral thesis]. Split: University of Split, Faculty of Maritime Studies; 2024 [cited 2025 March 22] Available at: https://urn.nsk.hr/urn:nbn:hr:164:589129

M. Petković, "ENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION", Doctoral thesis, University of Split, Faculty of Maritime Studies, Split, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:164:589129

Metadata
TitleENHANCING MARITIME VIDEO SURVEILLANCE TROUGH DEEP LEARNING AND HYBRID DISTANCE ESTIMATION
Title (english)Rad ne sadrži naslov na drugom jeziku.
AuthorMiro Petković
MentorIgor Vujović (mentor)
Committee memberDanko Kezić (predsjednik povjerenstva)
GranterUniversity of Split
Faculty of Maritime Studies
(Department of maritime electr. and. inform. technologies)
Split
Defense date and country2024-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Maritime and River Traffic
Universal decimal classification
(UDC)		62 - Engineering. Technology in general
Abstract
Maritime traffic is an important part of global trade and requires advanced monitoring systems to ensure safety and efficiency. Traditional monitoring systems such as Automatic Identification System (AIS) and radar systems, while important, are limited in tracking small and non-AIS equipped vessels, especially in complex areas. This thesis addresses these shortcomings by integrating video surveillance with advanced computer vision techniques, focusing on a case study in the Port of Split,... More Croatia. Using high-resolution video camera and Convolutional Neural Networks (CNNs), a real-time maritime traffic counting system has been developed that improves detection capabilities beyond conventional methods. A new and diverse image dataset was created to train and evaluate CNN models for applications in the Mediterranean maritime zone. An evaluation of the counting system shows that it detects 386% more maritime traffic than AIS, with an accuracy of 98.23%. Furthermore, a novel approach using a monocular camera and the pinhole camera model is presented for distance estimation in maritime applications. By incorporating this distance estimation into the system, more accurate distance estimates are achieved, allowing the system to provide more valuable and precise data on vessel positions and movements. The enhanced detection and monitoring capabilities provided by this system highlight the effectiveness of integrating video surveillance with advanced computer vision techniques in complex maritime environments. Less
Abstract (english)
Rad ne sadrži sažetak na drugom jeziku.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:164:589129
Promotion2024-07-17
Study programmeTitle: Obtaining a doctorate of science outside of doctoral studies
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti (doktor/doktorica znanosti)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2024-09-02 07:57:20
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