Title :
Aerial Image Registration for Tracking
Author :
Linger, Michael E. ; Goshtasby, A. Ardeshir
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Abstract :
To facilitate the tracking of moving targets in a video, the relation between the camera and the scene is kept fixed by registering the video frames at the ground level. When the camera capturing the video is fixed with respect to the scene, detected motion will represent the target motion. However, when a camera in motion is used to capture the video, image registration at ground level is required to separate camera motion from target motion. An image registration method is introduced that is capable of registering images from different views of a 3-D scene in the presence of occlusion. The proposed method is capable of withstanding considerable occlusion and homogeneous areas in images. The only requirement of the method is for the ground to be locally flat and sufficient ground cover be visible in the frames being registered. Experimental results of 17 videos from the Brown University data set demonstrate robustness of the method in registering consecutive frames in videos covering various urban and suburban scenes. Additional experimental results are presented demonstrating the suitability of the method in registering images captured from different views of hilly and coastal scenes.
Keywords :
cameras; image motion analysis; image registration; image representation; object tracking; video signal processing; 3D scene; Brown University data set; aerial image registration; camera motion; camera-scene relation; coastal scenes; consecutive frame registration; ground cover; hilly scenes; homogeneous areas; image registration method; locally flat ground; motion detection; moving target tracking; occlusion; suburban scenes; target motion representation; video capture; video frame registration; Cameras; Detectors; Feature extraction; Image registration; Image resolution; Registers; Target tracking; Aerial video; homography; image registration; multiview images; tracking;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2014.2356177