H. Aghajan

Publications (2)0.96 Total impact

• Source

  Available from: ugent.be

  Article: Dempster-Shafer based multi-view occupancy maps

  M. Morbee, L. Tessens, H. Aghajan, W. Philips
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  ABSTRACT: Presented is a method for calculating occupancy maps with a set of calibrated and synchronised cameras. In particular, Dempster-Shafer based fusion of the ground occupancies computed from each view is proposed. The method yields very accurate occupancy detection results and in terms of concentration of the occupancy evidence around ground truth person positions it outperforms the state-of-the-art probabilistic occupancy map method and fusion by summing.
  Electronics Letters 04/2010; · 0.96 Impact Factor
• Source

  Available from: ugent.be

  Conference Proceeding: PhD forum: Dempster-Shafer based camera contribution evaluation for task assignment in vision networks

  M. Morbee, L. Tessens, W. Philips, H. Aghajan
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  ABSTRACT: In a network of cameras, it is important that the right subset of cameras takes care of the right task. In this work, we describe a general framework to evaluate the contribution of subsets of cameras to a task. Each task is the observation of an event of interest and consists of assessing the validity of a set of hypotheses. All cameras gather evidence for those hypotheses. The evidence from different cameras is fused by using the Dempster-Shafer theory of evidence. After combining the evidence for a set of cameras, the remaining uncertainty about a set of hypotheses, allows us to identify how well a certain camera subset is suited for a certain task. Taking into account these subset contribution values, we can determine in an efficient way the set of subset-task assignments that yields the best overall task performance.
  Distributed Smart Cameras, 2009. ICDSC 2009. Third ACM/IEEE International Conference on; 10/2009