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.
|Title of host publication
|Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia
|Place of Publication
|Institute of Electrical and Electronics Engineers
|Published - 2010