Original title: Detekce a rozpoznávání osob ve vícekamerovém systému
Translated title: Detection and Recognition of Persons in a Multi-Camera System
Authors: Martinček, Ľuboš ; Beran, Jan (referee) ; Goldmann, Tomáš (advisor)
Document type: Bachelor's theses
Year: 2023
Language: slo
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [slo] [eng]
Práca sa zaoberá detekciou a rozpoznávaním osôb vo viackamerovom systéme. V práci sú popísané všeobecné kamerové systémy a ich vývoj a metódy používané na detekciu a rozpoznanie osôb. Na základe týchto informácií v druhej časti projektu popisujú návrh a implementáciu viackamerového systému, ktorý je schopný rozpoznať a rozpoznať osoby. Práca kombinuje implementáciu YOLO detektora s extraktorom príznakov na bázi Omni-Scale neurónovej siete. This thesis deals with the detection and recognition of people in a multi-camera system. In this thesis I describe general camera systems and their development and methods used for detection and recognition of persons. Based on this information, in the second part of the project I describe the design and implementation of a multi-camera system that is able to detect and recognize people. This thesis implements a combination of a YOLO detector and an Omni-Scale neural network based feature extractor.
Keywords: camera system; convolutional neural networks; Darknet-53; machine learning; neural networks; Omni-Scale Network; person detection; person reidentification; person tracking; Python; PyTorch; tensorflow; torchreid; YOLO

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/211160

Permalink: http://www.nusl.cz/ntk/nusl-529437


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses