diplomsko delo
Luka Kuzman (Author), Luka Čehovin (Mentor)

Abstract

V diplomski nalogi smo izdelali sistem za uporabljanje umetnih sekvenc, primernih za uporabo v vizualnem sledenju za vrednotenje ali učenje sledilnih algoritmov. Sistem je zasnovan kot razširitev za program za 3D modeliranje Blender in omogoča parametriziranje dinamike različnih lastnosti scen, npr. dinamike kamere, svetlobe. Tak način ustvarjanja sekvenc omogoča tudi hitro generiranje natančnih oznak, ki so potrebne za vrednotenje ali učenje. Za prikaz uporabnosti našega pristopa smo ustvarili pet scen iz katerih smo generirali 30 sekvenc in na njih ovrednotili štiri referenčne sledilnike. S spreminjanjem parametrov sekvenc lahko demonstriramo določene omejitve posameznih sledilnikov, ki jih lahko povežemo z njihovo zasnovo.

Keywords

vizualno sledenje;vrednotenje;parametrizacija;sintetične sekvence;interdisciplinarni študij;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [L. Kuzman]
UDC: 004(043.2)
COBISS: 78761219 Link will open in a new window
Views: 648
Downloads: 90
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Other data

Secondary language: English
Secondary title: Rendering synthetic sequences for visual tracking
Secondary abstract: In this thesis, we have developed a system for creating synthetic sequences suitable for use in visual tracking to evaluate or learn tracking algorithms. The system is designed as an extension for the 3D modelling software Blender and allows for parametrisation of dynamics of different scene features, e.g. camera dynamics, lighting. This way of generating sequences also allows for quick generation of accurate labels needed for evaluation or learning. To demonstrate the applicability of our approach, we created five scenes using which we generated 30 sequences and evaluated four reference trackers on them. By changing the parameters of the sequences, we can demonstrate certain limitations of each tracker that can be linked to their design.
Secondary keywords: visual tracking;evaluation;parametrisation;synthetic sequences;computer science;computer and information science;computer science and mathematics;interdisciplinary studies;diploma;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000407
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 43 str.
ID: 13469985