NDLI: Low-rank structured sparse representation and reduced dictionary learning-based abnormity detection

Content Provider	IET Digital Library
Author	Xie, Wenbin Yin, Hong Wang, Meini Shao, Yan Yu, Bosi
Abstract	A novel abnormity detection method is presented which combines the low-rank structured sparse representation and reduced dictionary learning. The multi-scale three-dimensional gradient is used as low-level feature by encoding the spatiotemporal information. A group of reduced sparse dictionaries is learnt by low-rank approximation based on the structured sparsity property of the video sequence. The contribution of this study is three-fold: (i) the normal feature clusters can be represented effectively by the reduced dictionaries which are learnt based on the low-rank nature of the data; (ii) the size of dictionary is determined adaptively by the sparse learning method according to the scene, which makes the representation more compact and efficient; and (iii) the proposed abnormity detection method is of low time complexity and real-time detection can be obtained. The authors have evaluated the proposed method against the state-of-the-art methods on the public datasets and very promising results have been achieved.
Starting Page	8
Ending Page	14
Page Count	7
ISSN	17519632
Volume Number	13
e-ISSN	17519640
Issue Number	Issue 1, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2018.5256
Journal	IET Computer Vision
Publisher Date	2018-07-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Approximation Theory Computational Complexity Computer Vision And Image Processing Technique Dictionary Size Image And Video Coding Image Representation Image Sequence Interpolation And Function Approximation Knowledge Engineering Technique Learning in AI Low Time Complexity Low-level Feature Low-rank Approximation Low-rank Structured Sparse Representation Multiscale Three-dimensional Gradient Normal Feature Clusters Numerical Analysis Object Detection Real-time Detection Reduced Dictionary Learning-based Abnormity Detection Method Reduced Sparse Dictionaries Sparse Learning Method Spatiotemporal Information Structured Sparsity Property Video Coding Video Sequence Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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