%0 Electronic Book %0 Thesis %A Vempati, Nikhilesh and Heller, Ariane and Hardt, Wolfram %E Heller, Ariane %E Heller, Ariane %E Hardt, Wolfram %D 2017 %G English %~ Staatliche Kunstsammlungen Dresden, Kunstbibliothek %T Extraction of Key-Frames from an Unstable Video Feed %U https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa-229054 %X The APOLI project deals with Automated Power Line Inspection using Highly-automated Unmanned Aerial Systems. Beside the Real-time damage assessment by on-board high-resolution image data exploitation a postprocessing of the video data is necessary. This Master Thesis deals with the implementation of an Isolator Detector Framework and a Work ow in the Automotive Data and Time-triggered Framework(ADTF) that loads a video direct from a camera or from a storage and extracts the Key Frames which contain objects of interest. This is done by the implementation of an object detection system using C++ and the creation of ADTF Filters that perform the task of detection of the objects of interest and extract the Key Frames using a supervised learning platform. The use case is the extraction of frames from video samples that contain Images of Isolators from Power Transmission Lines. %Z https://katalog.skd.museum/Record/22-ch1-qucosa-229054 %U https://katalog.skd.museum/Record/22-ch1-qucosa-229054