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||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2010|
Liang, N., Hegt, J. A., & Mladenov, V. M. (2010). Image objects detection based on boosting neural network. In Proceedings of the 2010 10th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 23-25 September 2010, Belgrade, Serbia (pp. 206-211). Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NEUREL.2010.5644063