基于增强神经网络的图像目标检测

10th Symposium on Neural Network Applications in Electrical Engineering Pub Date : 2010-11-29 DOI:10.1109/NEUREL.2010.5644063

Ning Liang, H. Hegt, V. Mladenov

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引用次数: 1

摘要

本文讨论了视频帧的目标区域检测问题。目标是设计一个像素精确的草地检测器，用于物体自适应视频增强。一个增强神经网络被用于创建这样的检测器。所得到的检测器同时使用了帧的纹理特征和颜色特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 features and color features of the frames.

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10th Symposium on Neural Network Applications in Electrical Engineering

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