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Pedestrian Detection and Tracking for Counting Applications in Metro Station
Joint Authors
Wei-wei, Zhang
Ke-han, Wu
Ning, Chen
Yu-yang, Zhou
Yan-yan, Chen
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A pedestrian counting method based on Haar-like detection and template-matching algorithm is presented.
The aim of the method is to count pedestrians that are in a metro station automatically using video surveillance camera.
The most challenging problem is to count pedestrians accurately in the case of not changing the position of the surveillance camera, because the view that surveillance camera uses in a metro station is always short-shot and nondirect downward view.
In this view, traditional methods find it difficult to count pedestrians accurately.
Hence, we propose this novel method.
In addition, in order to improve counting accuracy more, we present a method to set the parameter value with a threshold-curve instead of a fixed threshold.
The results of experiments show the high accuracy of our method.
American Psychological Association (APA)
Yan-yan, Chen& Ning, Chen& Yu-yang, Zhou& Ke-han, Wu& Wei-wei, Zhang. 2014. Pedestrian Detection and Tracking for Counting Applications in Metro Station. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-492497
Modern Language Association (MLA)
Yan-yan, Chen…[et al.]. Pedestrian Detection and Tracking for Counting Applications in Metro Station. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-492497
American Medical Association (AMA)
Yan-yan, Chen& Ning, Chen& Yu-yang, Zhou& Ke-han, Wu& Wei-wei, Zhang. Pedestrian Detection and Tracking for Counting Applications in Metro Station. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-492497
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492497