[1]万盼盼,张轶. 一种改进的基于背景差分的运动目标检测方法[J].计算机技术与发展,2015,25(02):38-41.
 WAN Pan-pan,ZHANG Yi. An Improved Method for Moving Object Detection Based on Background Subtraction[J].,2015,25(02):38-41.
点击复制

 一种改进的基于背景差分的运动目标检测方法()
分享到:

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

卷:
25
期数:
2015年02期
页码:
38-41
栏目:
智能、算法、系统工程
出版日期:
2015-02-10

文章信息/Info

Title:
 An Improved Method for Moving Object Detection Based on Background Subtraction
文章编号:
1673-629X(2015)02-0038-04
作者:
 万盼盼张轶
 四川大学
Author(s):
 WAN Pan-panZHANG Yi
关键词:
 背景差分背景建模运动检测自适应背景更新
Keywords:
 background subtractionbackground modelingmoving object detectionadaptive background updating
分类号:
TP301
文献标志码:
A
摘要:
 文中在介绍运动检测方法的基础上,阐述了背景差分运动检测算法的优缺点。文章为实现高效的运动检测目的,提出了改进的基于背景差分的检测方法,体现在改进的基于帧间差分实现的背景建模算法以及改进的自适应背景更新算法,综合实现了基于背景差分的运动目标检测。针对背景差分受环境约束较大的缺点,改进措施能够很好地完成效果较理想的运动检测。实验结果表明,使用文中改进的背景差分进行运动目标检测,能够趋近于得到真实的没有运动目标的背景,其次实现了背景能够很好地自适应更新以适应环境的变化,使得最终的运动目标检测取得了良好的实验效果。
Abstract:
 Based on introducing the method for moving object detection,elaborate the advantages and disadvantages of the motion detec-tion algorithm which is based on background subtraction. To achieve the purpose of efficient motion detection,propose an improved de-tection method based on background difference,which reflects in the improved background modeling algorithm based on frame difference and also improved adaptive background updating algorithm,integrated to achieve the moving target detection based on background differ-ence. The effect of background difference is great affected by the environment,but the completion of the moving detection can be well done during the improved method. Experiments show that the proposed method can get the real scene without the moving target and any-thing else belongs to the foreground,secondly the background model can well adapt to environmental changes through adaptive updating. The ultimate moving target detection has achieved good results.

相似文献/References:

[1]王陈阳 周明全 耿国华.基于自适应背景模型运动目标检测[J].计算机技术与发展,2007,(04):21.
 WANG Chen-yang,ZHOU Ming-quan,GENG Guo-hua.Moving Object Detection Based on Adaptive Background Model[J].,2007,(02):21.
[2]曙光 张超 蔡则苏.基于改进的混合高斯模型的目标检测方法[J].计算机技术与发展,2012,(07):60.
 SHU Guang,ZHANG Chao,CAI Ze-su.Target Detection Method Based on Improved Gaussian Mixture Model[J].,2012,(02):60.
[3]梁凤兰 秦川 施化吉.基于视频的交通流信息采集算法的研究[J].计算机技术与发展,2012,(10):221.
 LIANG Feng-lan,QIN Chuan,SHI Hua-ji.Research on Traffic Flow Information Collection Algorithm Based on Video[J].,2012,(02):221.
[4]朱超军,杨红雨,刘东辉,等.基于实时视频图像处理的车辆排队长度检测[J].计算机技术与发展,2014,24(04):45.
 ZHU Chao-jun,YANG Hong-yu,LIU Dong-hui,et al.Measurement of Vehicle Queue Length Based on Real-time Video Image Processing[J].,2014,24(02):45.
[5]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(02):1.
[6]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(02):5.
[7]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(02):13.
[8]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(02):21.
[9]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(02):25.
[10]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(02):29.
[11]吴国栋[,刘政怡[],王小帅[]. 基于OpenCV的视频目标检索[J].计算机技术与发展,2014,24(11):210.
 WU Guo-dong[],LIU Zheng-yi[],WANG Xiao-shuai[]. Video Object Retrieval Based on OpenCV[J].,2014,24(02):210.
[12]高翔,朱婷婷,刘洋. 多摄像头系统的目标检测与跟踪方法研究[J].计算机技术与发展,2015,25(07):221.
 GAO Xiang,ZHU Ting-ting,LIU Yang. Research of Target Detection and Tracking Method for Multi-camera System[J].,2015,25(02):221.
[13]祝加祥[],胡鹏程[],何璇[],等. 基于滑动窗非负矩阵分解的运动目标检测方法[J].计算机技术与发展,2017,27(01):20.
 ZHU Jia-xiang[],HU Peng-cheng[],HE Xuan[],et al. Moving Target Detection Method Based on Non-negative Matrix Factorization of Sliding Window[J].,2017,27(02):20.

更新日期/Last Update: 2015-04-28