基于视差和变化检测的立体视频对象分割

上海大学学报(自然科学版)

基于视差和变化检测的立体视频对象分割

高欣1，安平1，刘佳1，张兆扬1，2

1.上海大学通信与信息工程学院，上海 200072； 
2.上海大学新型显示器技术及应用集成教育部重点实验室，上海 200072

收稿日期:2005-05-25 修回日期:1900-01-01 出版日期:1900-01-01 发布日期:1900-01-01
通讯作者: 安平1

Stereo Video Object Segmentation Based on Disparity and Change Detection

GAO Xin1,AN Ping1,LIU Jia1,ZHANG Zhaoyang1,2

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China;
2. Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai University, Shanghai 200072, China

Received:2005-05-25 Revised:1900-01-01 Online:1900-01-01 Published:1900-01-01
Contact: AN Ping1

摘要/Abstract

摘要：

立体视频对象分割是新一代视频编码、视频检索、互联网多媒体交互等新兴领域的关键技术.该文提出了一种融合多种信息的立体视频对象分割算法，首先采用基于边缘特征约束的视差估计方法，获得了可靠的视差场，再利用视差信息对视频对象进行了初始分割，在此基础上结合帧间变化检测的信息对视差分割结果进行修正.实验结果表明，本算法对有重叠的多对象具有良好的分割效果，得到了较精确的视频对象.

关键词: 变化检测, 对象分割, 立体视频, 视差

Abstract:

Stereo video object segmentation is a key technology in the new generation video coding, video browsing, and Internet multimedia interacting, etc. In this paper, a stereo video object segmentation algorithm that combines various sources of information is proposed. Estimation of disparity based on edge character restriction is first adopted to obtain reliable disparity scene. The disparity information is used to initialize segmentation. Change detection information is then integrated to modify boundaries of disparity segmentation. Experimental results show effectiveness of the algorithm in the case of multiple object overlapping.

Key words: change detection

, disparity, object segmentation,

stereo video

高欣;安平;刘佳;张兆扬;. 基于视差和变化检测的立体视频对象分割[J]. 上海大学学报(自然科学版).

GAO Xin;AN Ping;LIU Jia;ZHANG Zhaoyang;. Stereo Video Object Segmentation Based on Disparity and Change Detection[J]. Journal of Shanghai University（Natural Science Edition）.

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