Vision-Based UAV Maritime Search and Rescue Using Point Target Detection
Westall, Paul, Carnie, Ryan J., O'Shea, Peter J., Hrabar, Stefan, & Walker, Rodney A. (2007) Vision-Based UAV Maritime Search and Rescue Using Point Target Detection. In AIAC12 - Twelfth Australian International Aerospace Congress, Twelfth Australian Aeronautical Conference, 19-22 March 2007, Melbourne, Australia.
Human maritime search and rescue missions have always been challenging
and an element of chance is involved in the detection of survivors at sea. This
research is proposing the use of machine vision to assist UAVs to increase the
chances of success in locating humans lost at sea.
This paper presents an application of current image processing methods for target
detection in a synthetic maritime scenario. An evaluation of the algorithm’s
performance is also provided. The difficulties faced in the automatic detection of
human targets in a maritime search environment are also considered.
The paper concludes that there is a range of greyscale intensities, approximately 26%
based on current data set, where the target was unable to be detected which may limit
the applicability of the algorithm. The effect on performance of target intensity level,
threshold and forgetting factor are also investigated.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
Repository Staff Only: item control page