Automatic pedestrian counting using image processing techniques

Xiaowei Zhang; Graham Sexton

doi:10.1049/el:19950574

Automatic pedestrian counting using image processing techniques

Xiaowei Zhang, Graham Sexton

School of Computer Science

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80% accuracy in the counting results.

Original language	English
Pages (from-to)	863-865
Journal	Electronics Letters
Volume	31
Issue number	11
DOIs	https://doi.org/10.1049/el:19950574
Publication status	Published - 25 May 1995

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title = "Automatic pedestrian counting using image processing techniques",

abstract = "A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80\% accuracy in the counting results.",

author = "Xiaowei Zhang and Graham Sexton",

year = "1995",

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AU - Sexton, Graham

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AB - A new image processing algorithm used for pedestrian counting is introduced. The algorithm was ported to a TMS320C50 based platform and performs the pedestrian counting task in real time. The system has been tested at St Lazare Railway Station in Paris with better than 80% accuracy in the counting results.

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JO - Electronics Letters

JF - Electronics Letters

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ER -

Automatic pedestrian counting using image processing techniques

Abstract

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