Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 702476

Detection of Roadside Vegetation Using Features from the Visible Spectrum


Harbaš, Iva; Subašić, Marko
Detection of Roadside Vegetation Using Features from the Visible Spectrum // Mipro 2014 proceedings / Biljanović, Petar (ur.).
Opatija, 2014. str. 1454-1459 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 702476 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Detection of Roadside Vegetation Using Features from the Visible Spectrum

Autori
Harbaš, Iva ; Subašić, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Mipro 2014 proceedings / Biljanović, Petar - Opatija, 2014, 1454-1459

Skup
International Convention on Information and Communication Technology, Electronics and Microelectronics

Mjesto i datum
Opatija, Hrvatska, 26.05.2014. - 30.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image analysis; image processing; vegetation detetction; traffic safety

Sažetak
Detection of vegetation in images is a common procedure in remote sensing and is commonly applied to satellite and aerial images. Recently it has been applied to images recorded from within ground vehicles for autonomous navigation in outdoor environments. In this paper we present a method for roadside vegetation detection intended for traffic safety and infrastructure maintenance. While many published methods for vegetation detection are using Near Infrared images which are particularly suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of common onboard color cameras. Our feature set consists of color features and texture features. One of our specific goals was to identify a useful texture feature set for the problem of vegetation detection. Based on the feature set, the detection is implemented using a Support Vector Machine algorithm. For training and testing purposes we recorded our own image database consisting of different images containing roadside vegetation in various conditions. We are presenting promising experimental results and a discussion of specific problems experienced or expected in real-world application of the method.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Marko Subašić (autor)

Citiraj ovu publikaciju:

Harbaš, Iva; Subašić, Marko
Detection of Roadside Vegetation Using Features from the Visible Spectrum // Mipro 2014 proceedings / Biljanović, Petar (ur.).
Opatija, 2014. str. 1454-1459 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Harbaš, I. & Subašić, M. (2014) Detection of Roadside Vegetation Using Features from the Visible Spectrum. U: Biljanović, P. (ur.)Mipro 2014 proceedings.
@article{article, author = {Harba\v{s}, Iva and Suba\v{s}i\'{c}, Marko}, editor = {Biljanovi\'{c}, P.}, year = {2014}, pages = {1454-1459}, keywords = {image analysis, image processing, vegetation detetction, traffic safety}, title = {Detection of Roadside Vegetation Using Features from the Visible Spectrum}, keyword = {image analysis, image processing, vegetation detetction, traffic safety}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Harba\v{s}, Iva and Suba\v{s}i\'{c}, Marko}, editor = {Biljanovi\'{c}, P.}, year = {2014}, pages = {1454-1459}, keywords = {image analysis, image processing, vegetation detetction, traffic safety}, title = {Detection of Roadside Vegetation Using Features from the Visible Spectrum}, keyword = {image analysis, image processing, vegetation detetction, traffic safety}, publisherplace = {Opatija, Hrvatska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font