Detection of a particular object from environmental images under various conditions

Abstract

Abstract-In a current study of environmental information, it is important to detect the particular object from environmental h a g s under various conditions for security such as navigation system of ships. bird-watching for the prevention of various damages, invaders check and human rescue in the marine casualty. This paper deals with the image processing techniques for the detection of the rescue target as a particular object from environmental images When a marine casually occurs, the detection of the rescue target such as life rafb depends on the visual search of human eyes. It is p d i e d , however, that human eyes sometimes loses ifs sight and the ability of the detection faUs down owing to the long tlight and a nasty weather. For a practical purpose of the prompt rescue of human Li fe, the development of the searching support system in place of human eyes is surely required. To realize a new type searching system for the detection of the rescue target, the development of new type image processing techniques in real time manner i s undoubtedly important. At the Slst step o f our study, we attempt to develop image processing techniques, in order to detect accurately the rescue target under various conditions.

Can Clouds Improve the Performance of Automated Human Detection in Aerial Images?

“…Clouds, fog or smoke may impact performance of different cameras, and therefore the presence of such barriers is treated as a disadvantage in remote sensing (Oakley and Satherley 1998;Woodell et al 2015;Gultepe et al 2009;Djuricic and Jutzi 2013). In the context of UAV-assisted SAR work, bad weather not only influences image clarity but also limits the effectiveness of search through constraining flights and other field activities (Sumimoto et al 2000;Niedzielski et al 2018). However, the negative impact of deteriorated image clarity on the usability of such imagery can be reduced by data processing techniques (Steinvall et al 1999;Woodell et al 2015;Yuan et al 2010).…”