摘要
视频对象分割是MPEG 4标准关键技术 .本文结合模板匹配和基于运动估值和补偿的对象跟踪方法 ,提出了一种可以从复杂场景中分割出MPEG 4视频对象的新方法 .在使用运动估值和补偿得到分割掩膜后 ,以初始帧对象颜色为模板 ,在当前帧的轮廓边界区域通过模板匹配检测对象 ,使轮廓精确化 .本文方法在一定范围内有效解决了遮挡问题 ,并能够以初始帧跟踪任意长序列中的对象 .
Video object segmentation is the key issue in the MPEG-4 International Standard.This paper presents a new method for MPEG-4 video object segmentation from complicated scenes.In this method, the method of template matching and the object tracking method based on the motion estimation and compensation are combined.After the segmentation mask of the current frame has been generated by the motion estimation and compensation,the object colors in the initial frame are the same as the template and the object is detected in the object boundary area by template matching.So the object contour is refined.This object tracking method is able to solve the problems of occlusion and complicated scenes efficiently to certain extent and also tracks objects from an initial frame over any long time.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2002年第7期1075-1078,共4页
Acta Electronica Sinica
基金
国家自然科学基金
教育部回国人员科研基金
关键词
视频对象分割
遮挡
初始帧
对象跟踪
模板匹配
MPEG-4
video object segmentation
semiautomatic video object segmentation
object tracking,template
matching
