[1]黄建强,曹腾飞,郭文静,等. 联合两种颜色空间的阴影检测算法[J].计算机技术与发展,2014,24(07):95-98.
 HUANG Jian-qiang,CAO Teng-fei,GUO Wen-jing,et al. Shadow Detection Algorithm Combined Two Color Space[J].,2014,24(07):95-98.
点击复制

 联合两种颜色空间的阴影检测算法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年07期
页码:
95-98
栏目:
智能、算法、系统工程
出版日期:
2014-07-10

文章信息/Info

Title:
 Shadow Detection Algorithm Combined Two Color Space
文章编号:
1673-629X(2014)07-0095-04
作者:
 黄建强曹腾飞郭文静王瑞吴利
 青海大学 计算机技术与应用系
Author(s):
 HUANG Jian-qiangCAO Teng-feiGUO Wen-jingWANG RuiWU Li
关键词:
 归一化RGB颜色空间HSV颜色空间阴影消除
Keywords:
 normalized RGB color spaceHSV color spaceshadow elimination
分类号:
TP391
文献标志码:
A
摘要:
 在视频监控的运动检测中,由于光照、风吹等影响,运动阴影常常被误认为运动对象。为了有效解决动态背景下运动目标中存在的阴影问题,提出了一种归一化的RGB颜色空间和HSV颜色空间相结合的阴影消除方法。该方法首先在归一化RGB颜色空间下用背景减除法得到运动目标,然后在HSV空间下对阴影进行检测和消除,从而得到真实运动目标。实验结果证实:该方法在运动目标检测及跟踪方面取得了较好的效果,对动态背景的视频,能准确、实时地检测出阴影并进行消除。
Abstract:
 In video motion detection,the moving shadow is often mistaken as moving object due to the effects of light and wind. In order to effectively solve the problem of moving object detection in dynamic background,propose a novel method using the joint of normalized RGB color space and HSV color space. Firstly,this method gets the moving targets in normalized RGB color space with the subtraction method,then under the shadow of space in the HSV carry out detection and elimination,resulting in real moving targets. The experiment results demonstrate the method obtains good effect in the moving target detection and tracking,can detect and eliminate the shadow effec-tively in real-time for the dynamic background video.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2015-03-13