Object detection in dehazed Optical and Infrared Images

Abstract

Images captured in the presence of smoke and fog will often suffer from bad visibility. In such scenario, the limited perception poses a massive problem for monitoring infrastructures. In the event of a disaster, or even an attack, smoke and fog might hinder emergency services such as fire-services. The Institutes for the Protection of Terrestrial and Maritime Infrastructures, subscribed to the German Aerospace Center (DLR), are dedicated to develop concepts and technologies to help to improve the safety and security of critical maritime and terrestrial infrastructures. In this poster, first the concept of efficient image dehazing will be exploited. Second, it will be shown how state-of-the-art algorithms in object detection improve their performance by using dehazed images when smoke and fog are present. Finally, this two-stage approach has been applied to optical and infrared images, showing the robustness and possible application of dehazing in this field.