Moving vehicle detection based on an improved interframe difference and a Gaussian model

Wenju Li, Jianguo Yao, Tianzhen Dong, Haif Li, Xiangjian He

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

For moving vehicle detection, this paper presents an algorithm on the basis of an improved interframe differential algorithm and an improved Gaussian model. Firstly, according to a statistical histogram, an interesting region is extracted. Through a mean algorithm, an initial background model is established. The interesting region is divided into several blocks by a self-adaptive method. Secondly, according to an improved interframe difference algorithm, the interesting region is separated roughly. On the basis of these steps, we utilize an improved Gaussian model to separate the rough results precisely. At last, the results are processed by double-threshold background subtracting. Experimental results show this algorithm can detect moving vehicles rapidly and accurately.

Original languageEnglish
Title of host publicationProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015
EditorsLipo Wang, Sen Lin, Zhiyong Tao, Bing Zeng, Xiaowei Hui, Liangshan Shao, Jie Liang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages969-973
Number of pages5
ISBN (Electronic)9781467390989
DOIs
Publication statusPublished - 16 Feb 2016
Externally publishedYes
Event8th International Congress on Image and Signal Processing, CISP 2015 - Shenyang, China
Duration: 14 Oct 201516 Oct 2015

Publication series

NameProceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015

Conference

Conference8th International Congress on Image and Signal Processing, CISP 2015
Country/TerritoryChina
CityShenyang
Period14/10/1516/10/15

Keywords

  • double-threshold background subtracting
  • improved Gaussian model
  • improved interframe
  • moving vehicle detection

ASJC Scopus subject areas

  • Signal Processing

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