Talks and Poster Presentations (with Proceedings-Entry):

A. Wittmann, M. Gelautz, F. Seitner:
"Evaluation Study on Semantic Object Labelling in Street Scenes";
Talk: ARW & OAGM Workshop 2019, Steyr; 2019-05-09 - 2019-05-10; in: "Proceedings of the ARW & OAGM Workshop 2019", Verlag der Technischen Universität Graz, (2019), ISBN: 978-3-85125-663-5; 201 - 202.

English abstract:
We present a processing pipeline for semantic scene labelling that was developed in view of autonomous driving applications. Our study focuses on two different methods for feature selection - Texture-layout-filter (TLF) and Single Histogram Class Models (SHCM) - whose influence on the performance of a random forest classifier is investigated. In tests on the Cityscapes dataset, we assess the effects of parameter variation and observe an improvement of the Intersection over Union score by 44 percent when substituting the TLF by the computationally more demanding SHCM feature.

semantische Annotierung / Straßenszenen / Kontextbasierte Feature / Texturbasierte Feature / SHCM Feature / Texture-layout-filter Feature

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Related Projects:
Project Head Margrit Gelautz:

Created from the Publication Database of the Vienna University of Technology.