[1]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):20-24.
 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(01):20-24.
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 基于滑动窗非负矩阵分解的运动目标检测方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
20-24
栏目:
智能、算法、系统工程
出版日期:
2017-01-10

文章信息/Info

Title:
 Moving Target Detection Method Based on Non-negative Matrix Factorization of Sliding Window
文章编号:
1673-629X(2017)01-0020-05
作者:
 祝加祥[1]胡鹏程[1]何璇[1]王营冠[2]
1. 安徽大学 计算机科学与技术学院;2.中国科学院上海微系统与信息技术研究所 中国科学院无线传感网与通信重点实验室
Author(s):
 ZHU Jia-xiang[1]HU Peng-cheng[1]HE Xuan[1]WANG Ying-guan[2]
关键词:
 非负矩阵分解运动目标检测背景差分滑动窗
Keywords:
 non-negative matrix factorizationmoving object detectionbackground differencesliding window
分类号:
TP391.9
文献标志码:
A
摘要:
 主要研究了智能视频监控系统中的运动目标检测算法,试图将非负矩阵分解算法引入运动目标检测算法中,通过非负矩阵分解算法对视频序列的背景进行建模,使用背景差分法将当前视频帧图像与建立的背景模型比较获得运动目标。针对运动目标检测中基本非负矩阵分解批处理算法的不足,提出一种基于滑动窗非负矩阵分解的运动目标检测算法。通过滑动窗处理控制非负矩阵分解模型中被分解矩阵的规模,降低了算法的计算复杂度和空间复杂度,并在一定程度上增加了模型的非记忆性。实验结果表明,该算法能够更好地自适应背景模型的动态改变,并且在视频场景中存在光照突变和较小运动目标时具有较好的检测效果。
Abstract:
 The algorithms of detecting the moving objects in the intelligent video surveillance system are mainly studied. The Non-nega-tive Matrix Factorization ( NMF) algorithm is introduced into the moving target detection algorithm for modeling the background of a video sequences,and the background subtraction method is used to obtain the moving target by comparing the differences of the current video frame and the background model. In order to solve the problem of the NMF algorithm with a batch process,a moving target detec-tion algorithm of NMF based on sliding window is put forward,which controls the size of the decomposed matrix in NMF matrix decom-position model by adjusting the length of the sliding window. The proposed algorithm can reduce the computation and space complexity, and to some extent,it can increase non-memory characteristic of the model. The experiments show that the proposed method can adap-tively change the background model and has better detection effect when there is light change and small moving target in video scene.

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更新日期/Last Update: 2017-04-01