title: Geometric correction of atmospheric turbulence-degraded video containing moving objects.
abstract: Long-distance surveillance is a challenging task because of atmospheric turbulence that causes time-varying image shifts and blurs in images. These distortions become more significant as the imaging distance increases. This paper presents a new method for compensating image shifting in a video sequence while keeping real moving objects in the video unharmed. In this approach, firstly, a highly accurate and fast optical flow technique is applied to estimate the motion vector maps of the input frames and a centroid algorithm is employed to generate a geometrically correct frame in which there is no moving object. The second step involves applying an algorithm for detecting real moving objects in the video sequence and then restoring it with those objects unaffected. The performance of the proposed method is verified by comparing it with that of a state-of-the-art approach. Simulation experiments using both synthetic and real-life surveillance videos demonstrate that this method significantly improves the accuracy of image restoration while preserving moving objects.
authors.forename: Kalyan Kumar
authors.initials: KK
authors.lastname: Halder
authors.forename: Murat
authors.initials: M
authors.lastname: Tahtali
authors.forename: Sreenatha G
authors.initials: SG
authors.lastname: Anavatti