Fast test and recognition of object characters based on multilevel orientation run length coding

WANG Huan-huan; BIAN Yue-xin; WANG Xiang-jun

doi:10.3788/OPE.20142207.1976

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Fast test and recognition of object characters based on multilevel orientation run length coding

更新时间：2020-08-13

- Fast test and recognition of object characters based on multilevel orientation run length coding
- Optics and Precision Engineering Vol. 22, Issue 7, Pages: 1976-1983(2014)
- 作者机构：
  
  1. 天津大学微光机电系统技术教育部重点实验室天津,300072
  2. 天津科技大学机械工程学院天津,300222
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142207.1976
  CLC： TP391
- Received：22 April 2014，
  
  Revised：15 May 2014，
  
  Published：25 July 2014
- 稿件说明：
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王欢欢, 卞越新, 王向军. 基于多级定向执行长度编码快速识别物体特征[J]. 光学精密工程, 2014,22(7): 1976-1983

WANG Huan-huan, BIAN Yue-xin, WANG Xiang-jun. Fast test and recognition of object characters based on multilevel orientation run length coding[J]. Editorial Office of Optics and Precision Engineering, 2014,22(7): 1976-1983
王欢欢, 卞越新, 王向军. 基于多级定向执行长度编码快速识别物体特征[J]. 光学精密工程, 2014,22(7): 1976-1983 DOI： 10.3788/OPE.20142207.1976.

WANG Huan-huan, BIAN Yue-xin, WANG Xiang-jun. Fast test and recognition of object characters based on multilevel orientation run length coding[J]. Editorial Office of Optics and Precision Engineering, 2014,22(7): 1976-1983 DOI： 10.3788/OPE.20142207.1976.

摘要

提出了一种新的快速物体检测与识别方法，用于检测和识别在运动过程中图像尺寸不断变化的物体。该方法基于多级定向执行长度编码法（MORLC）生成一种新的多级字节编码和物体特征样本形式，其属于字符数据样本，具有数据量小、占用存储空间少、构造过程简单、可根据不同的应用需求选择不同级次的样本形式等特点。对MORLC方法中二级字节编码和样本的系统理论进行了分析，给出了利用MORLC二级字节编码和样本检测和识别运动物体的实验数据。对静态背景中的行人及位置进行了检测和识别实验，结果显示多级字节编码和物体特征样本形式匹配处理速度快，匹配和识别的鲁棒性好，不易产生错误匹配。该方法特别适用于场景中由于被探测物体运动产生投影图像比例发生变化的情况，即对图像大小不敏感。该方法的另一个突出优点是高的执行处理效率。

Abstract

A new rapid detection and recognition method was proposed for those objects whose image sizes would change in movement processing.Based on Multilevel Orientation Run Length Coding (MORLC) method

the method can generate a new multilevel byte code and object feature templet forms.It is a byte coding and templets and characterized by smaller data amounts

smaller storage addresses

easy constructing

and can choose different classes of sample forms.According to different application requirements

two level byte code in MORLC method and system theory of templets were analyzed

and the experimental data from detection and recognition of moving objects using MORLC two level byte code were given.A detection and recognition experiment on a pedestrian and its position in a static background was performed.The experimental results show that the multilevel byte code and object feature matching templet form have higher processing speeds

robust matching and identification

and not easily get wrong matching.This method is especially suitable for changed images caused by detecting object movement in the scene projection

which means it is not sensitive to image sizes.Another advantage of this method is high processing efficiency.

关键词

Keywords

references

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