D 2016

Rozpoznání atributů vozidel pomocí metod strojového učení (Zvaná přednáška)

SEDLÁK, Jan

Basic information

Original name

Rozpoznání atributů vozidel pomocí metod strojového učení (Zvaná přednáška)

Name (in English)

Automatic recognition of vehicle attributes using machine learning (Invited talk)

Authors

SEDLÁK, Jan

Edition

Bratislava, Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ, p. 49-52, 4 pp. 2016

Publisher

Nakladatel’stvo STU

Other information

Language

Czech

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Organization unit

Faculty of Informatics

ISBN

978-80-227-4619-9

Keywords (in Czech)

strojové učení; neuronové sítě; klasifikace výrobce; barva vozidla; SVM; Random forest; hluboké neuronové sítě

Keywords in English

machine learning; neural networks; brand classification; vehicle color; SVM; Random forest; deep neural networks
Změněno: 12/11/2016 23:43, Mgr. Jan Sedlák

Abstract

ORIG EN

V originále

Detection and recognition of vehicle attributes is important part of the ITS systems, particularly when searching for interest or stolen vehicles. The lecture discusses applicability of machine learning methods, including RandomForest, Support vector machine and deep neural networks, in identifying the individual vehicle attributes based on camera images from the real environment. The results from functional implementation of machine learning algorithms for classification of color and vehicle make, deployed in real-world environment for the purpose of Police of the Czech Republic, will be presented.

In English

Detection and recognition of vehicle attributes is important part of the ITS systems, particularly when searching for interest or stolen vehicles. The lecture discusses applicability of machine learning methods, including RandomForest, Support vector machine and deep neural networks, in identifying the individual vehicle attributes based on camera images from the real environment. The results from functional implementation of machine learning algorithms for classification of color and vehicle make, deployed in real-world environment for the purpose of Police of the Czech Republic, will be presented.

Links

MUNI/A/0945/2015, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A