Tracking of objects in video scenes with time varying content

  • Authors:
  • Amal Mahboubi;Jenny Benois-Pineau;Dominique Barba

  • Affiliations:
  • IRCCyN UMR CNRS EPUN, rue Christian Pauc La chantrerie, Nantes, France;LABRI, CNRS UMR, Université Bordeaux, Talence, France;IRCCyN UMR CNRS EPUN, rue Christian Pauc La chantrerie, Nantes, France

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2002

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Abstract

We propose a method for tracking of objects contained in video sequences. Each video object is represented by a set of polygonal regions. A bottom up approach (spatial segmentation/motion estimation) is applied for the initialisation of the method, a limited human interaction is used to build the semantic map of the first frame in video sequence. The tracking of this model along a video sequence is based on detecting and indexing new objects in a video scene. Semantic rules are used to label new objects and, the current state of segmentation is validated by forward projection of the background.