Naslov
CWT-based Detection of Roadside Vegetation Aided by Motion Estimation

Autori
Harbaš, Iva ; Subašić, Marko

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

Izvornik
Visual Information Processing (EUVIP), 2014 5th European Workshop on / - Pariz, 2014

Skup
5th European workshop on visual information processing

Mjesto i datum
Pariz, Francuska, 10.12.2014. - 12.12.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
In this paper we present a method for roadside vegetation detection intended for traffic safety and road infrastructure maintenance. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses features from the visible spectrum allowing the use of a common color camera. The presented method uses a set of carefully selected color and texture features. Texture features are based on two-dimensional Continuous Wavelet Transform with oriented wavelets. Because texture can vary with the distance from the camera, we are limiting detection to the regions near to the camera. We use optical flow as an approximate estimator of distance. The classification is 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 and a comparison with alternative approaches.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

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