Semiautomatic segmentation and tracking of semantic video objects

被引：177
|
作者：
Gu, C [1 ]
Lee, MC [1 ]
机构：
[1] Microsoft Corp, Redmond, WA 98052 USA
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 1998年 / 8卷 / 05期
关键词：
mathematic morphology; perspective motion model; segmentation; semantic video object; tracking;
D O I：
10.1109/76.718504
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper introduces a novel semantic video object extraction system using mathematical morphology and a perspective motion model. Inspired by the results from the study of the human visual system, we intend to solve the semantic video object extraction problem in two separate steps: supervised I-frame segmentation, and unsupervised P-frame tracking. First, the precise semantic video object boundary can be found using a combination of human assistance and a morphological segmentation tool. Second, the semantic video objects in the remaining frames are obtained using global perspective motion estimation and compensation of the previous semantic video object plus boundary refinement as used for I frames.
引用
收藏
页码：572 / 584
页数：13
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