Video Stabilization and Completion Using Two Cameras
Jie Zhou, Han Hu, Dingrui Wan · IEEE Transactions on Circuits and Systems for Video Technology · 2011
Video stabilization is important in many application fields, such as visual surveillance. Video stabilization and completion based on a single camera have been well studied in recent years, but it remains a very challenging problem. In this paper, we propose a novel framework to produce a stable high-resolution video for visual surveillance by using two cameras, in which one static camera serves to capture low-resolution wide-view-angle images, and the other is a pan-tilt-zoom camera to capture high-resolution images. Different with using a single camera, the interesting target can be detected and tracked more effectively and much more high-resolution information can be utilized for the stabilization and completion by using two videos from two cameras. A three-step stabilization approach is designed to deal with the resolution's discrepancy between two synchro videos and a four-stage completion strategy is taken to utilize more high-resolution information. Experimental results show that the proposed algorithm has a satisfying performance.