Real-time detection via homography mapping of foreground polygons from multiple cameras

Ming Xu*, Jie Ren, Dongyong Chen, Jeremy Smith, Guifen Wang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

14 Citations (Scopus)

Abstract

A real-time object detection algorithm by using multiple cameras is proposed. The information fusion is based on homographic transformation of the foreground information from multiple cameras to a reference image. Unlike the most recent algorithms which transmit and project foreground bitmap images, we approximate the contour of each foreground region with a polygon and only transmit and project the polygon vertices. These polygons are rebuilt and fused in the reference image. This greatly reduces the requirement on network bandwidth and avoids homographic transformations at image levels. The results on an open video dataset are demonstrated.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages3593-3596
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sept 201114 Sept 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • detection
  • homography
  • multi-camera

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