Pedestrian Detection and Tracking for Counting Applications in Metro Station
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, the authors propose this novel method. In addition, in order to improve counting accuracy more, they 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 their method.
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Supplemental Notes:
- © 2014 Chen Yan-yan et al.
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Authors:
- Yan-yan, Chen
- Ning, Chen
- Yu-yang, Zhou
- Ke-han, Wu
- Wei-wei, Zhang
- Publication Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: Article ID 712041
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Serial:
- Discrete Dynamics in Nature and Society
- Volume: 2014
- Publisher: Hindawi Publishing Corporation
- Serial URL: http://www.hindawi.com/journals/ddns/
Subject/Index Terms
- TRT Terms: Accuracy; Pedestrians; Rail transit stations; Surveillance; Traffic counting; Video cameras
- Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01525928
- Record Type: Publication
- Files: TRIS
- Created Date: May 28 2014 3:22PM