
Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
Michael Teutsch(Author)
KIT Scientific Publishing
Published on 17. March 2015
Book
Paperback/Softback
XI, 242 pages
978-3-7315-0320-0 (ISBN)
Description
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.
More details
Series
Thesis
Doctoral thesis
2014
Karlsruher Institut für Technologie, KIT
Language
English
Illustrations
graph. Darst.
Dimensions
Height: 210 mm
Width: 148 mm
Thickness: 16 mm
Weight
356 gr
ISBN-13
978-3-7315-0320-0 (9783731503200)
DOI
10.5445/KSP/1000044922
Schweitzer Classification