Motion-based Foreground Extraction in Compressed Video
This paper presents a new method to distinguish the foreground from compressed videos. It demonstrates that the foreground detection can be effectively achieved by the local motion combine luminance and chromaticity factors. In order to calculate the local motion, which is estimated from the original motion and the global motion, we built a four parameter model to compute global motion. Levenberg Marquardt algorithm is introduced to revise those parameters. For luminance and chromaticity factors, DC coefficients are employed to segment the objects, which are considered as the index of the image. Some implement results show that our algorithm provides a practical way for foreground extraction and more researches of high level video processing will be carried out based on it.
compressed video foreground extraction object motion DC coefficient
Zhu Leiqi Zhang Qishan
School of Electronic and Information Engineering Beihang University Beijing, China
国际会议
长沙
英文
1836-1839
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）