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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

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Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.

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Keywords

  • Automatische Videoüberwachung
  • Bewegungsdetektion bei bewegter Kamera
  • Independent Motion Detection
  • MultiobjekttrackingAutomatic Video Surveillance
  • Multiple Object Tracking
  • object detection
  • Objektdetektion
  • Track-Before-Detect

Links

DOI: 10.5445/KSP/1000044922

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