DocumentCode
3213737
Title
Image objects detection based on boosting neural network
Author
Liang, Ningqing ; Hegt, Hans ; Mladenov, Valeri M.
Author_Institution
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear
2010
fDate
23-25 Sept. 2010
Firstpage
207
Lastpage
211
Abstract
This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.
Keywords
adaptive signal processing; feature extraction; image colour analysis; image texture; neural nets; object detection; vegetation; video signal processing; boosting neural network; color feature; grass; image object detection; object adaptive video enhancement; object area detection; pixel accurate detector; textural feature; video frame; Artificial neural networks; Boosting; Classification algorithms; Feature extraction; Image color analysis; Pixel; Training; boosting neural network; feature; grass;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
Conference_Location
Belgrade
Print_ISBN
978-1-4244-8821-6
Type
conf
DOI
10.1109/NEUREL.2010.5644063
Filename
5644063
Link To Document