Robust object detection with real-time fusion of multiview foreground silhouettes

Ming Xu, Jie Ren, Dongyong Chen, Jeremy S. Smith, Zhechi Liu, Tianyuan Jia

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


An object detection algorithm using multiple cameras is proposed. The information fusion is based on homography mapping of the foreground information from multiple cameras and for multiple parallel planes. Unlike the most recent algorithms, which transmit and project foreground bitmaps, it approximates each foreground silhouette with a polygon and projects the polygon vertices only. In addition, an alternative approach to estimating the homographies for multiple parallel planes is presented. It is based on the observed pedestrians and does not resort to vanishing-point estimation. The ability of this algorithm to remove cast shadows in moving object detection is also investigated. The results on open video datasets are presented as well.

Original languageEnglish
Article number047202
JournalOptical Engineering
Issue number4
Publication statusPublished - Apr 2012


  • Computer vision
  • Data fusion
  • Object detection
  • Video signal processing

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