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Multiobjects Association and Abnormal Behavior Detection for Massive Data Analysis in Multisensor Monitoring Network
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-03
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
With the rapid increase in the number of large-scale distributed cameras and the rapid increase in the monitoring range of the camera network, how to accurately recognize and analyze abnormal behavior is still a challenging problem.
In addition, the appearance of moving objects between different cameras without overlapping fields of view undergoes significant changes, making it difficult to obtain accurate association Therefore, multiobjects association and abnormal behavior detection for massive data analysis in multisensor monitoring network are proposed in this paper, which firstly uses belief propagation to associate multiple objects, extracts the object’s behavior trajectory characteristics, and then builds a long short-term memory classification network to realize automatic classification of abnormal behaviors.
Multiobject association fully considers the timing correlation and object detection probability, as well as the statistical dependence of the measurement on the association matrix.
The experimental results show that our proposed method can achieve a high classification accuracy and sensitivity, which meets the requirements of automatic classification of abnormal behavior in complex monitoring network.
This further shows that this research has practical application value.
American Psychological Association (APA)
Bao, Ke& Ding, Yourong. 2020. Multiobjects Association and Abnormal Behavior Detection for Massive Data Analysis in Multisensor Monitoring Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201737
Modern Language Association (MLA)
Bao, Ke& Ding, Yourong. Multiobjects Association and Abnormal Behavior Detection for Massive Data Analysis in Multisensor Monitoring Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1201737
American Medical Association (AMA)
Bao, Ke& Ding, Yourong. Multiobjects Association and Abnormal Behavior Detection for Massive Data Analysis in Multisensor Monitoring Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201737