Thesis Details

Detekce pohybu v obraze z kamery

Bachelor's Thesis Student: Polanský Petr Academic Year: 2015/2016 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Motion Detection in Video
Language
Czech
Abstract

The objective of this work is evaluate motion detection using Gaussian Mixture Model. When algorithm detects motion, it creates short video capturing this motion and visualizing it properly. Visualization is made by white pixels intensity graph. System is applicable on less busy area when motion is more noticeable. Results of this work shows how surrounding environment and camera position influence detection.

Keywords

motion detection, background subtraction, Gaussian Mixture Model, erosion, dilation, opening,closing, region of interest, ROI, threshold, ROC curve, Canny edge detector, OpenCV,motion intensity, surveillance conditions, camera types

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
14 June 2016
Reviewer
Sochor Jakub, Ing.
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kunovský Jiří, doc. Ing., CSc. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
POLANSKÝ, Petr. Detekce pohybu v obraze z kamery. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-14. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/18935/
BibTeX 
@bachelorsthesis{FITBT18935,
    author = "Petr Polansk\'{y}",
    type = "Bachelor's thesis",
    title = "Detekce pohybu v obraze z kamery",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/18935/"
}

Theses

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