[1]黄建新.室外场景下目标分割和目标识别算法[J].华侨大学学报(自然科学版),2005,26(4):353-356.[doi:10.3969/j.issn.1000-5013.2005.04.006]
　Huang Jianxin.An Algorithm for Object Segmentation and Object Recognition on Outdoor Scene[J].Journal of Huaqiao University(Natural Science),2005,26(4):353-356.[doi:10.3969/j.issn.1000-5013.2005.04.006]
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室外场景下目标分割和目标识别算法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第26卷
期数:
2005年第4期
页码:
353-356
栏目:
出版日期:
2005-10-20

文章信息/Info

Title:
An Algorithm for Object Segmentation and Object Recognition on Outdoor Scene
文章编号:
1000-5013(2005)04-0353-04
作者:
黄建新
华侨大学数学系 福建泉州362021
Author(s):
Huang Jianxin
Department of Mathematics, Huaqiao University, 362021, Quanzhou, China
关键词:
目标分割;  混合概率模型;  阴影消除;  支持向量机
Keywords:
object segmentation;  model of mixed probability;  elimination of shadow;  supporting vector machine
分类号:
TP277
DOI:
10.3969/j.issn.1000-5013.2005.04.006
文献标志码:
A
摘要:
视频监控应用场所可分为室内和室外.室外环境受到诸如光照、下雨、落叶等因素的影响,整个场景变化复杂,给视频处理带来许多困难.文中介绍一种室外场景下目标分割和目标识别的方法,使用基于像素颜色特征的混合概率模型,将当前图像中与模型匹配的像素视为背景,然后更新模型中各个参数.为了去除目标区域的阴影部分,引入一种基于阀值和区域特征的阴影消除算法.同时,采用基于支持向量机的分类方法,识别场景中新出现的目标.
Abstract:
The site where video monitoring is applied can be divided as indoor and outdoor.The outdoor surroundings bring about difficulties to video-frequency processing due to the influence of such factors as illumination,raining and fallen leaves which make the entire scene to change and to be complicated.A method is presented here for object segmentation and object recognition.The author regards the pixels in present image matching with a model of mixed probability based on the characteristic of pixel color as background,and updates parameters in the model; and eliminates the shadow in object area by leading in an algorithm based on threshold and characteristic of area; and moreover,recognizes new-emerging object in the scene by adopting method of classification based on a supporting vector machine.
更新日期/Last Update: 2014-03-23