Video Stabilization in Visual Prosthetics
Video acquisition and processing is always the first stage in all prosthetics. We consider the problem of video stabilization applied in visual prosthetics: removing unwanted image perturbations due to unstable camera motions caused by walking subjects. In this paper, we propose a software video stabilization algorithm based on feature block searching (FBS) approach to remove the large amplitude of moving and shaking in video. Compared with the conventional approach of video stabilization, FBS is scene content oriented, and can be easily implemented due to its computational simplicity, real-time processing speed and reasonable memory requirements by tracking the motion vector locally. The experimental results show that the method results in a greatly visual quality of the reconstructed sequence and a significant saving in terms of bit rate.
Ping Shi Yisheng Zhu Shanbao Tong
Department of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, China, 200240
国际会议
北京
英文
786-789
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）