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Your search keyword '"CHEN Yan-Yan"' showing total 6 results
Start Over Author "CHEN Yan-Yan" Publisher hindawi limited
6 results on '"CHEN Yan-Yan"'

2. Comparatively Evaluating the Role of Herb Pairs Containing Angelicae Sinensis Radix in Xin-Sheng-Hua Granule by Withdrawal Analysis

Author

Pang, Han-Qing, primary, Xu, Ding-Qiao, additional, Tang, Yu-Ping, additional, Zhou, Gui-Sheng, additional, Xu, Hui-Qin, additional, Jin, Yi, additional, Zhu, Zhen-Hua, additional, Shi, Xu-Qin, additional, Yue, Shi-Jun, additional, Chen, Yan-Yan, additional, Huang, Sheng-Liang, additional, and Duan, Jin-Ao, additional

Published
2020
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4. Deciphering the Active Compounds and Mechanisms of Qixuehe Capsule on Qi Stagnation and Blood Stasis Syndrome: A Network Pharmacology Study

Author

Huang, Yu-Xi, primary, Xu, Ding-Qiao, additional, Yue, Shi-Jun, additional, Chen, Yan-Yan, additional, Tao, Hui-Juan, additional, Fu, Rui-jia, additional, Xing, Li-Ming, additional, Wang, Taiyi, additional, Ma, Yu-ling, additional, Wang, Bao-An, additional, Tang, Yu-Ping, additional, and Duan, Jin-Ao, additional

Published
2020
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5. Pedestrian Detection and Tracking for Counting Applications in Metro Station

Author

Zhou Yu-yang, Chen Yan-yan, Wu Ke-han, Zhang Weiwei, and Chen Ning

Subjects
Article Subject, Computer science, business.industry, Pedestrian detection, lcsh:Mathematics, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Poison control, Pedestrian, Tracking (particle physics), lcsh:QA1-939, Set (abstract data type), Metro station, Position (vector), Modeling and Simulation, Computer vision, Artificial intelligence, Surveillance camera, business, Simulation
Abstract

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.

Published
2014

6. Pedestrian Detection and Tracking for Counting Applications in Metro Station.

Author

Chen Yan-yan, Chen Ning, Zhou Yu-yang, Wu Ke-han, and Zhang Wei-wei

Subjects
*TEMPLATE matching (Digital image processing), *TRAFFIC monitoring, *VIDEO surveillance, *PASSENGER traffic, *OPTICAL resolution, *HAAR integral
Abstract

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. [ABSTRACT FROM AUTHOR]

Published
2014
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