Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance

Moving object extraction is the core of event detection in video surveillance. Although many related methods have been proposed to extract moving objects, even advanced applications still encounter cavity problems, which are false detection and deficiencies resulting from cavities inside the body or...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 64; no. 6; pp. 4945 - 4955
Main Authors Chia-Hung Yeh, Chih-Yang Lin, Muchtar, Kahlil, Hsiang-Erh Lai, Ming-Ting Sun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Background modeling
Cavity resonators
Gaussian distribution
Hysteresis
hysteresis thresholding
mixture of Gaussians
Morphology
Motion compensation
Moving object recognition
Object detection
Surveillance
Video surveillance
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Summary:Moving object extraction is the core of event detection in video surveillance. Although many related methods have been proposed to extract moving objects, even advanced applications still encounter cavity problems, which are false detection and deficiencies resulting from cavities inside the body or fragmented foreground objects. In this paper, an entirely new structure for extracting moving objects is proposed. This scheme is based on the concepts of hysteresis thresholding and motion compensation, which constitute spatial and temporal compensations, respectively. Experimental results show that the proposed scheme can outperform modern moving object detection methods in terms of precision, recall, F-measure, and other measurements.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2669881