Lokalizacija parkirnih mjesta u nadzornom videu

undergraduate thesis

• Title (english): Localization of parking spots in surveillance video
• Author: Domagoj Vukadin
• Mentor: Siniša Šegvić (mentor)
• Committee member: Siniša Šegvić (predsjednik povjerenstva)
• Committee member: Mladen Karan (član povjerenstva)
• Committee member: Goran Glavaš (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2015-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Razmatramo detekciju događaja uparkiravanja automobila u videu snimljenom
nadzornom kamerom. Predlažemo metodu koja se temelji na praćenju točkastih značajki kroz slijed slika. Pokretne objekte detektiramo kao prostorno bliske nakupine piksela s približno jednakim pomakom s obzirom na prethodnu sliku. Objekte predstavljamo opisanim pravokutnikom koji je poravnat s glavnom osi objekta. Ispitni skup sastojao se od videozapisa statične nadzorne kamere iz ptičje perspektive. U implementaciji je korišten programski jezik C++ i vanjska biblioteka OpenCV koja olakšava rad sa slikama. Metodu smo evaluirali nad uparkiravanjem dvaju automobila. Postignuti rezultati su prikazani i diskutirani.

Abstract (english)

We consider detection of car parking in video recorded by surveillance camera.
The method which we propose is based on point features tracking through sequence of
photos. We detect moving objects like close clusters of pixels with about same shift
according to previous photo. Objects were presented with circumscribed rectangle
which is aligned with main axis of object. Test set contains videos recorded by static
surveillance camera with bird’s-eye view. Solution was implemented in C++ with
OpenCV library for easy work with photos. We evaluated method on two cars parking.
Achieved results were displayed and discussed.

• Keywords: detekcija parkirnih mjesta; računalni vid; optički tok; Lucas-Kanade; PCA; RANSAC; nadzorni video; C++; OpenCV
• Keywords (english): parking spots detection; computer vision; optical flow; Lucas-Kanade; PCA; RANSAC; surveillance video; C++; OpenCV
• Language: croatian
• URN:NBN: urn:nbn:hr:168:552394
• 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: 2018-02-06 14:27:28