摘要
提出一种视频的压缩域与像素域特征结合的运动对象分割算法。该算法在压缩域对运动矢量场进行时空域滤波和累加处理,用空域差异度分割算法提取出运动对象区域,把提取得到的运动对象区域经一定的扩展映射到像素域,在像素域中使用基于高斯的马尔可夫随机场模型细分割运动对象。实验结果表明,该算法分割效率高,分割的运动对象完整性好、精度较高。
An effective algorithm is proposed to segment moving object in compressed domain and pixel domain method combined. In this algorithm, a space-time filtering and accumulation is used to process the MV（Motion Vector） field, and the method of MV spatial differences is used to extract the region of moving object in compressed domain. After that the extracted region is expanded appropriately in pixel domain, and in pixel domain the more accurate moving object is segmented by using the MRF（Markov Random Field） model. Experimental results show that the segmentation algorithm is efficient and segmented moving object is complete and accurate.
出处
《计算机工程》
CAS
CSCD
北大核心
2011年第12期282-284,共3页
Computer Engineering
关键词
对象分割
压缩域
像素域
时空域滤波
马尔可夫随机场
object segmentation
compressed domain
pixel domain
space-time filtering
Markov random field
