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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/712041 |
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| _version_ | 1832563815596687360 |
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| author | Chen Yan-yan Chen Ning Zhou Yu-yang Wu Ke-han Zhang Wei-wei |
| author_facet | Chen Yan-yan Chen Ning Zhou Yu-yang Wu Ke-han Zhang Wei-wei |
| author_sort | Chen Yan-yan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fbf5273c0aaf482f9c01e79e3d48f109 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-fbf5273c0aaf482f9c01e79e3d48f1092025-02-03T01:12:28ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/712041712041Pedestrian Detection and Tracking for Counting Applications in Metro StationChen Yan-yan0Chen Ning1Zhou Yu-yang2Wu Ke-han3Zhang Wei-wei4Beijing University of Technology, Chaoyang Distract Beijing, ChinaBeijing University of Technology, Chaoyang Distract Beijing, ChinaBeijing University of Technology, Chaoyang Distract Beijing, ChinaBeijing University of Technology, Chaoyang Distract Beijing, ChinaBeijing University of Technology, Chaoyang Distract Beijing, ChinaA 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.http://dx.doi.org/10.1155/2014/712041 |
| spellingShingle | Chen Yan-yan Chen Ning Zhou Yu-yang Wu Ke-han Zhang Wei-wei Pedestrian Detection and Tracking for Counting Applications in Metro Station Discrete Dynamics in Nature and Society |
| title | Pedestrian Detection and Tracking for Counting Applications in Metro Station |
| title_full | Pedestrian Detection and Tracking for Counting Applications in Metro Station |
| title_fullStr | Pedestrian Detection and Tracking for Counting Applications in Metro Station |
| title_full_unstemmed | Pedestrian Detection and Tracking for Counting Applications in Metro Station |
| title_short | Pedestrian Detection and Tracking for Counting Applications in Metro Station |
| title_sort | pedestrian detection and tracking for counting applications in metro station |
| url | http://dx.doi.org/10.1155/2014/712041 |
| work_keys_str_mv | AT chenyanyan pedestriandetectionandtrackingforcountingapplicationsinmetrostation AT chenning pedestriandetectionandtrackingforcountingapplicationsinmetrostation AT zhouyuyang pedestriandetectionandtrackingforcountingapplicationsinmetrostation AT wukehan pedestriandetectionandtrackingforcountingapplicationsinmetrostation AT zhangweiwei pedestriandetectionandtrackingforcountingapplicationsinmetrostation |