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基于变化检测的视频对象提取及后继帧的对象跟踪
引用本文:种衍文,江柳,沈未名. 基于变化检测的视频对象提取及后继帧的对象跟踪[J]. 武汉大学学报(信息科学版), 2006, 31(8): 748-751
作者姓名:种衍文  江柳  沈未名
作者单位:[1]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079 [2]武汉精伦电子股份有限公司,武汉市东湖新技术开发区430074
摘    要:提出一种多尺度帧间边界变化检测方法,将当前图像划分为变化区域和非变化区域,变化区域内采用基于Hausdorff距离跟踪器找到对象在后继帧的最佳匹配位置;然后利用Snake模型拟合该位置上的非刚性形变,得到对象真实边缘;最后采用一种基于距离变换的最短路径法使开环闭合。

关 键 词:视频对象分割  对象跟踪  活动轮廓  距离变换
文章编号:1671-8860(2006)08-0748-04
修稿时间:2006-04-19

Video Objects Extraction and Tracking in the Video Sequences
CHONG Yanwen. Video Objects Extraction and Tracking in the Video Sequences[J]. Geomatics and Information Science of Wuhan University, 2006, 31(8): 748-751
Authors:CHONG Yanwen
Affiliation:CHONG Yanwen~
Abstract:A method for multi-scale change detection is proposed based on inter-frame edge difference.The result shows that the algorithm is robust and well sensitive to change.Snake model is used to extract the object contour.Because of blindness of Snake model,Hausdorff tracker is introduced prior to snake tracker.Snake model is used to track non-rigid deformation in object translation position indicated by Hausdorff tracker.The result of snake model is not always closed,a method of the shortest path based on distance transform is proposed.The segmentation algorithm avoids many of the complex problems associated with optical flow estimation and gray-based segmentation in the space.Experiments also demonstrate this algorithm can handle many traditional types of sequences.
Keywords:video object segment  object tracking  Snake model  distance transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
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