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2014 | 2 | 679--686
Tytuł artykułu

Indoor head detection and tracking on RGBD images

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Języki publikacji
A real-time human head detection and tracking method for a fall detection system is presented. It utilizes RGBD images to obtain a head position in the three-dimensional space. The proposed method is designed to be insensitive to a body orientation and requires no initial calibration for the tracked person. The evaluation was performed on the basis of annotated videos with realistic non-studio indoor everyday activities and falls. The proposed method outperforms head tracking from the Microsoft Kinect SDK skeleton tracking.(original abstract)
Opis fizyczny
  • Wroclaw University of Technology
  • Wroclaw University of Technology
  • Wroclaw University of Technology
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