Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja

undergraduate thesis

• Title (english): Object Tracking Based on Adaptive Search Window Shift
• Author: Zorana Doždor
• Mentor: Zoran Kalafatić (mentor)
• Committee member: Zoran Kalafatić (predsjednik povjerenstva)
• Committee member: Josip Šarić (član povjerenstva)
• Committee member: Ivan Grubišić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Praćenje objekta je definirano kao problem određivanje putanje objekta dok se kreće kroz scenu. U ovom radu opisan je algoritam camshift koji ostvaruje praćenje pronalaskom ekstrema funkcije razdiobe vjerojatnosti. Funkcija razdiobe vjerojatnosti se pronalazi metodom povratne projekcije histograma. Implementacija navedenog algoritma je testirana na različitim slikovnim sekvencama i uspoređena je s implementacijom dostupom u programskoj biblioteci OpenCV. Rezultati pokazuju da se algoritam može primijeniti na praćenje različitih objekta te da je uspješan i za slikovne sekvence niske svjetline te uz prisutnost uniformnog šuma.

Abstract (english)

Object tracking is defined as the problem of estimating the trajectory of an object in an image plane as it moves around a scene. In this paper, the camshift algorithm is described. It is a tracking technique based on findig the mode of a probability distribution function. The probability distribution function is found by histogram backprojection. The implementation of this algorithm was tested on different image sequences and compared to the implementation avaliable in the OpenCV program library. The results show that the algorithm can be used for tracking various objects and that it can succesfully be applied for tracking objects even in low brightness videos as well as in videos with uniform noise.

• Keywords: camshift; praćenje objekta; meanshift; histogram; povratna projekcija histograma
• Keywords (english): camshift; object tracking; meanshift; histogram; histogram backprojection
• Language: croatian
• URN:NBN: urn:nbn:hr:168:910062
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 17:41:35