Robust background image generation and vehicle 3D detection and tracking

Yufang Zhang, Peijun Shi, Elizabeth G. Jones, Qiuming Zhu

Research output: Contribution to conferencePaper

9 Scopus citations

Abstract

this research includes two parts: (1) background image generation for vehicle detection, (2) vehicle 3-dimensional (3D) shape recovery and vehicle tracking. In the first part, "Background subtraction" approach is used to detect vehicles in the images. The problem of background image generation is modeled as a mixture of Gaussian distributions and our goal is to separate the background data from other components in the image. A median model is presented as the background image generation method. The second part proposes a size-difference method to recover the vehicle 3D parameters. Vehicle tracking at typical street blocks and intersections is done based on the combination of vehicle features, such as the 3D parameters and pixel intensity statistics.

Original languageEnglish (US)
Pages12-16
Number of pages5
StatePublished - 2004
EventProceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004 - Washington, DC, United States
Duration: Oct 3 2004Oct 6 2004

Conference

ConferenceProceedings - 7th International IEEE Conference on Intelligent Transportation Systems, ITSC 2004
CountryUnited States
CityWashington, DC
Period10/3/0410/6/04

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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