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Author:

Zhang, Wenli (Zhang, Wenli.) | Yang, Kun (Yang, Kun.) | Guo, Xiang (Guo, Xiang.)

Indexed by:

EI Scopus

Abstract:

In this paper, we proposed a pedestrian information analysis system. It is consisted of the pedestrian detection module and the pedestrian tracking module. Compared with various pedestrian detection methods, the Deformable Part Model (DPM) algorithm is used to detect the pedestrians in the picture. Meanwhile, this paper proposes a pedestrian tracking method. This method uses the pedestrian detection result to calculate the pedestrian's centroid and uses the video time domain information to track the centroid. It can help us to obtain the pedestrian information that includes the pedestrian moving distance and direction. We set the count line to count the pedestrian's number and direction in this system. The experiment results show that the system we proposed can analyse pedestrians more accurately. © Published under licence by IOP Publishing Ltd.

Keyword:

Information analysis Time domain analysis

Author Community:

  • [ 1 ] [Zhang, Wenli]College of Information and Communications Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Yang, Kun]College of Information and Communications Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Guo, Xiang]College of Information and Communications Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China

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Source :

ISSN: 1757-8981

Year: 2018

Issue: 3

Volume: 439

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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