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| 基于递归高阶统计和改进分水岭算法的运动对象分割 | |
| 引用本文： | 王圣男,蒋刚毅,郁梅,朱仲杰.基于递归高阶统计和改进分水岭算法的运动对象分割[J].宁波大学学报(理工版),2003,16(2):140-144. |
| 作者姓名： | 王圣男 蒋刚毅 郁梅 朱仲杰 |
| 作者单位： | 1. 宁波大学,电路与系统研究所,浙江,宁波,315211 2. 宁波大学,电路与系统研究所,浙江,宁波,315211;西安电子科技大学,ISN国家重点实验室,陕西,西安,710071 3. 浙江大学,信息与电子工程系,浙江,杭州,310027 |
| 摘 要： | 提出了基于递归高阶统计和改进分水岭算法的视频图像序列中的运动目标分割算法．该算法首先利用递归高阶统计及多帧运动信息估计出图像序列中的运动区域，而后用一种改进的分水岭算法对提取出的区域进行空域分割，进而提取出视频图像序列中运动目标．实验结果表明所提出的算法能有效地提取出运动目标． |
| 关 键 词： | 改进分水岭算法 递归高阶统计 对象分割 |
| 文章编号： | 1001-5132(2003)02-0140-05 |
| 修稿时间： | 2003年3月12日 |
Segmentation of Moving Objects in Video Sequence Based on Recursive High-Order Statistics and Improved Watershed Algorithm |
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| WANG Sheng-nan,JIANG Gang-yi,YU Mei,ZHU Zhong-jie.Segmentation of Moving Objects in Video Sequence Based on Recursive High-Order Statistics and Improved Watershed Algorithm[J].Journal of Ningbo University(Natural Science and Engineering Edition),2003,16(2):140-144. | |
| Authors: | WANG Sheng-nan JIANG Gang-yi YU Mei ZHU Zhong-jie |
| Abstract: | A moving object extraction method based on recursive high-order statistics and adapted watershed algorithm is proposed for video sequence. Firstly, binary motion image is achieved via recursive high-order statistics detection method and motion information of multiple frames. Then, an adapted watershed algorithm is used to segment the motion region. Finally the moving object can be extracted from video sequence. Simulation results show that the proposed automatic object extraction algorithm is efficient. |
| Keywords: | recursive high-order statistics improved watershed algorithm object segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |