Naslov
Motion Estimation Aided Detection of Roadside Vegetation

Autori
Harbaš, Iva ; Subašić, Marko

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

Izvornik
Image and Signal Processing (CISP), 2014 7th International Congress on / - Dalian, 2014

ISBN
978-1-4799-5834-4

Skup
The 2014 7th International Congress on Image and Signal Processing (CISP 2014)

Mjesto i datum
Dalian, Kina, 14.10.2014. - 16.10.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image analysis; image processing; optical flow; vegetation detection; traffic safety

Sažetak
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented detection method uses a set of carefully selected color and texture features. Texture features are based on two-dimensional Continuous Wavelet Transform with oriented wavelets. As selected features can vary with the distance from the camera, we are limiting detection to the regions near to the camera. We used an optical flow algorithm as an approximate estimator of the distance. The classification into vegetation and non-vegetation regions was done using nonlinear SVM. For training and testing purposes we recorded our own video database which contains roadside vegetation in various conditions. We are presenting promising experimental results, comparison with an alternative approach and a discussion of specific problems experienced or expected in real-world application of the method.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA