Foreground based Borderline Adjusting for Real Time Multi-Camera Video Stitching
In this paper, we propose a multi-camera video stitching approach, which conducts borderline adjusting based on foreground information. In real time applications of video stitching, one problem is to deal with dynamic scenes, where foreground objects often cause broken objects like artifacts in panoramic video. To address this problem, we propose a foreground based borderline adjusting method to achieve smooth video stitching. In this method, foreground objects are extracted from different viewpoints, and the stitching borderlines are adjusted according to the foreground content in dynamic scenes. Guided by the adjusted borderlines, foreground objects are smoothly synthesized into panoramic video. Experiment results show that this approach obtains more than 81% correct rate for dynamic scenes, compared with 25%～50% correct rate on the condition of not utilizing foreground information, and achieves processing speed of 10～13 frames per second.
Foreground Objects Borderline Adjusting Video Stitching Multi-Camera
Hongming Zhang Wei Zeng Xin Chen
NEC Laboratories, China 11F, Bldg.A, Innovation Plaza, Tsinghua Science Park Beijing, China, 10084 Beijing Jiaotong University No.3. Shangyuan Residence, Haidian District Beijing, China, 100044
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
355-360
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）