loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Radovan Fusek 1 ; Eduard Sojka 1 ; Karel Mozdřeň 1 and Milan Šurkala 2

Affiliations: 1 Technical University of Ostrava, Czech Republic ; 2 echnical University of Ostrava, Czech Republic

Keyword(s): Object Detection, Image Features, Recognition.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Shape Representation and Matching

Abstract: In this paper, we propose a novel technique for object description. The proposed method is based on investigation of energy distribution (in the image) that describes the properties of objects. The energy distribution is encoded into a vector of features and the vector is then used as an input for the SVM classifier. Generally, the technique can be used for detecting arbitrary objects. In this paper, however, we demonstrate the robustness of the proposed descriptors for solving the problem of car detection. Compared with the state-of-the-art descriptors (e.g. HOG, Haar-like features), the proposed approach achieved better results, especially from the viewpoint of dimensionality of the feature vector; the proposed approach is able to successfully describe the objects of interest with a relatively small set of numbers without the use of methods for the reduction of feature vector.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.13.254

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Fusek, R.; Sojka, E.; Mozdřeň, K. and Šurkala, M. (2014). Energy based Descriptors and their Application for Car Detection. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 492-499. DOI: 10.5220/0004685804920499

@conference{visapp14,
author={Radovan Fusek. and Eduard Sojka. and Karel Mozd\v{r}eň. and Milan Šurkala.},
title={Energy based Descriptors and their Application for Car Detection},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={492-499},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004685804920499},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Energy based Descriptors and their Application for Car Detection
SN - 978-989-758-003-1
IS - 2184-4321
AU - Fusek, R.
AU - Sojka, E.
AU - Mozdřeň, K.
AU - Šurkala, M.
PY - 2014
SP - 492
EP - 499
DO - 10.5220/0004685804920499
PB - SciTePress