Fast detection of overlapped areas in smart camera network

Chang Zhou*, Yaowu Chen, Kwei Jay Lin

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations


Finding overlapped areas among images is a fundamental problem while building a multi-camera network. In a cooperative vision task, cameras must determine their relative positions with respect to each other. In this paper, a fast view matching based method is proposed to detect overlapped areas for un-calibrated camera network. We accomplish view matching by detecting interesting points matched with their local image descriptor. The detection of interesting points is based on the SURF algorithm, which is suitable for real time processing. The local image descriptor matching is built on the local binary pattern (LBP) histogram, which is robust for illuminating changes and image rotations. We have tested the algorithm in an actual embedded smart camera network. The performance is shown to be acceptable.

Original languageEnglish
Pages (from-to)1153-1158
Number of pages6
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Issue number7
StatePublished - 07 2007
Externally publishedYes


  • Overlapped area detection
  • SURF
  • Smart camera network


Dive into the research topics of 'Fast detection of overlapped areas in smart camera network'. Together they form a unique fingerprint.

Cite this