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基于像素块最大后验概率的视频对象分割方法
引用本文:刘少华,张茂军,智利丁.基于像素块最大后验概率的视频对象分割方法[J].中国图象图形学报,2009,14(1):125-130.
作者姓名:刘少华  张茂军  智利丁
作者单位:国防科学技术大学信息系统与管理学院,长沙 410073
基金项目:国家自然科学基金项目(60273066,60473116)
摘    要:提出一种基于像素块最大后验概率的视频运动对象快速分割算法。首先根据连续3帧视频序列构建参考帧,计算基于像素块的差分图像;然后用Gibbs随机场模型描述基于像素块的差分图像,通过最大后验概率方法分割运动对象块;最后使用基于颜色梯度的snake模型提取运动对象轮廓。实验结果表明,该算法能避免视频对象的缺失,降低图像噪声的影响,减少误分割,同时具有较快的计算速度。

关 键 词:像素块  视频对象分割  最大后验概率  Gibbs随机场  snake模型
收稿时间:2007/5/21 0:00:00
修稿时间:2007/8/31 0:00:00

Video Object Segmentation Based on MAP of Pixel Blocks
LIU Shaohu,ZHANG Maojun and ZHI Liding.Video Object Segmentation Based on MAP of Pixel Blocks[J].Journal of Image and Graphics,2009,14(1):125-130.
Authors:LIU Shaohu  ZHANG Maojun and ZHI Liding
Affiliation:School of Information System and Management, National University of Defense Technology, Changsha 410073
Abstract:A video object segmentation method based on MAP (maximum a posteriori) of pixel blocks is proposed. Firstly, a reference frame is built from three continuous frames and a pixel block-based difference image is calculated. Secondly, a pixel block-based difference image is described by Gibbs random field model, the moving object blocks are detected by MAP. Last, the contour of the moving object is extracted by the snake method. The experiments results show that the algorithm can avoid the losing and mistakes with a good speed.
Keywords:pixel block  video object segmentation  MAP  Gibbs random field  snake model
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