Image objects detection based on boosting neural network

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 fe...

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Bibliographic Details
Main Authors: Ningqing Liang, Hegt, H, Mladenov, V M
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Boosting
boosting neural network
Classification algorithms
feature
Feature extraction
grass
Image color analysis
Pixel
Training
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Summary: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.
DOI:10.1109/NEUREL.2010.5644063