标题：
Moving cast shadow detection using block nonnegative matrix factorization
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所属单位：
自动化学院
发表刊物：
BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES
关键字：
moving cast shadow detection video surveillance nonnegative matrix factorization block nonnegative matrix factorization
摘要：
In recent years, moving cast shadow detection has become a critical challenge in improving the accuracy of moving object detection in video surveillance. In this paper, we propose two novel moving cast shadow detection methods based on nonnegative matrix factorization (NMF) and block nonnegative matrix factorization (BNMF). First, the algorithm of moving cast shadow detection using NMF is given and the key points such as the determination of moving shadow areas and the choice of discriminant function are specified. Then BNMF are introduced so that the new training samples and new classes can be added constantly with lower computational complexity. Finally, the improved shadow detection method is detailed described according to BNMF. The effectiveness of proposed methods is evaluated in various scenes. Experimental results demonstrate that the method achieves high detection rate and outperforms several state-of-the-art methods.
ISSN号：
0239-7528
是否译文：
否
发表时间：
2018-04-01
合写作者：
刘冬雪,周大可,Yang, R.
通讯作者：
杨欣
发表时间：
2018-04-01
学位：工学博士学位
职称：副教授
所在单位：自动化学院