On Space-Time Interest Points

被引：133
|
作者：
Ivan Laptev
机构：
[1] IRISA/INRIA,
来源：
International Journal of Computer Vision | 2005年 / 64卷
关键词：
interest points; scale-space; video interpretation; matching; scale selection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Local image features or interest points provide compact and abstract representations of patterns in an image. In this paper, we extend the notion of spatial interest points into the spatio-temporal domain and show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for interpretation of spatio-temporal events.
引用
收藏
页码：107 / 123
页数：16
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