Tracking as motion boundary detection in spatio-temporal space

被引：0
|
作者：
Feghali, R [1 ]
Mitiche, A [1 ]
Mansouri, AR [1 ]
机构：
[1] INRS Telecommun, Montreal, PQ H5A 1C6, Canada
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS I AND II | 2001年
关键词：
tracking; level-sets; minimal surfaces; motion segmentation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, we define tracking as spatio-temporal motion boundary detection. This formulation has several advantages: (1) it leads to a method of lesser complexity, (2) it allows multiple nonsimultaneous motions, (3) it allows tracking of external as well as internal boundaries of objects. The method consists of evolving a surface in spatio-temporal space such that at the end of Its evolution it enfolds the spatiotemporal volume generated by the moving objects. This enfolding surface contains the tracking information. The surface evolution equations are expressed as level-sets partial differential equations, allowing variation in topology.
引用
收藏
页码：600 / 604
页数：5
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