Multi-target tracking system using texture

Jun Geun Jeon, Young Ho Kim, Goo Man Park, Kyu Tae Park

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

A new method to detect and track non-rigid moving objects against a moving background is presented. In order to discriminate objects from background optical flow based segmentation methods are not appropriate for the case of non-rigid as they have non-uniform optical flow. The proposed method uses optical flow nd texture similarity to discriminate objects from the background. A well-known algorithm from neural networks, Kohonen's self-organizing maps, was adapted to measure the texture similarity.

Original languageEnglish
Pages (from-to)229-236
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3024
DOIs
StatePublished - 1997
Externally publishedYes
EventVisual Communications and Image Processing '97 - San Jose, CA, United States
Duration: Feb 12 1997Feb 12 1997

Keywords

  • Kohonen maps
  • Optical flow
  • Target tracking
  • Texture

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