欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对H．264压缩域，提出一种改进的运动对象分割方法。首先提取运动矢量场，对该矢量场进行矢量中值滤波，然后基于块进行前向矢量累积获得更加显著的矢量场，最后采用改进的K均值和EM的混合分层聚类方法，基于宏块层、块层两次聚类将运动对象分割出来。实验表明，该方法通过分层聚类，进一步提高了分割效率，能实现满足实时要求的较精确分割。
英文摘要：
An improved moving object segmentation approach which extracts motion field from H.264 compressed domain is proposed. Pre-treatments such as vector median filtering and forward block vector accumulation are used to obtain more obvious motion field. Then mix and hierarchical clustering algorithm based on improved k-means and EM is exploited to segment the moving object on the macro-block level and on the block level. Experimental results demonstrate that this approach further improves the efficiency of the segmentation by hierarchical clustering. It provides satisfactory real-time segmentation results and good segmentation quality.
同期刊论文项目
同项目期刊论文
期刊信息
位置：