Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

  • Teutsch, Michael
Publisher:KIT Scientific PublishingISBN 13: 9783731503200ISBN 10: 3731503204

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Moving Object Detection and Segmentation for Remote Aerial Video Surveillance is written by Teutsch, Michael and published by KIT Scientific Publishing. It's available with International Standard Book Number or ISBN identification 3731503204 (ISBN 10) and 9783731503200 (ISBN 13).

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.