| 基于神经网络的全自动模式识别跟踪系统 |
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| 引用本文： | 赵彦彬,陈新.基于神经网络的全自动模式识别跟踪系统[J].计算机工程,2006,32(13):209-211. |
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| 作者姓名： | 赵彦彬 陈新 |
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| 作者单位： | 福州大学信息与通信工程系,福州,350002 |
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| 基金项目： | 福建省科技三项费资助项目 |
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| 摘 要： | 建立了一个基于神经网络的全自动模式识别跟踪系统。通过MOD算法提取出各个运动目标的特征向量后，利用神经网络对各个目标自动进行模式分类。文中同时给出了在复杂背景下多个运动目标自动跟踪与识别的实验结果。
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| 关 键 词： | 神经网络 特征提取 自组织特征映射 B-P网络 |
| 文章编号： | 1000-3428（2006）13-0209-03 |
| 收稿时间： | 07 21 2005 12:00AM |
| 修稿时间： | 2005-07-21 |
A Full-automatic Pattern Recognizing and Tracing System Based on Neural Network |
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| ZHAO Yanbin,CHEN Xin.A Full-automatic Pattern Recognizing and Tracing System Based on Neural Network[J].Computer Engineering,2006,32(13):209-211. |
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| Authors: | ZHAO Yanbin CHEN Xin |
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| Affiliation: | Department of Information and Communication Engineering, Fuzhou University, Fuzhou 350002 |
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| Abstract: | This paper describes a full-automatic pattern recognizing and tracing system based on neural network. After picking up their vectors by the MOD arithmetic, it classifies the patterns of the mobile objects according to neural network theory. The paper meanwhile gives the experimental result of auto recognizing and tracing process for multi-objects moving under complicated background. |
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| Keywords: | MOD |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
