Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework

Abstract

In computer vision research, one of the capabilities of establishing an autonomous UAV is the detection of rigid and non-rigid object. Moving object detection with moving cameras from UAV aerial images is still an unsolved issue due to clutter and rural background contained in the images, even and uneven illumination changes, static and moving objects and motion of camera. This paper presents a conceptual framework for moving object detection with moving camera from UAV aerial images combined with the frame difference and segmentation approach together. Our focus is the human as rigid and vehicle as non rigid object detection where the camera can be mounted on the vehicle or other movable platform. It is expected that the proposed conceptual framework performs well under different situations for uneven environments. © Springer-Verlag Berlin Heidelberg 2013.