Vibration and reflection reduction in images captured from moving objects connected through a wireless sensor network

Abstract

This research explores the use of a computational approach to stabilize image sequences captured by vision sensors mounted on unmanned aerial vehicles (UAV) for road traffic surveillance. The images captured are processed in real-time, and the information necessary to create a feedback to stabilize the flight and enhance the image is computed. The proposed approach is tested on Zigduino, a prototype vision sensor developed for wireless sensor networks used in quadcopter UAV. The results show that our approach can be applied to scenes that have moving objects and dynamic luminance. Although our focus is on UAV for road traffic surveillance, the results of this research have applications to a variety of moving objects which have mounted cameras to capture images and transmit these wirelessly. © 2014 Springer Science+Business Media Dordrecht.