On Space-Time Interest Points

被引：132

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

页码：107 / 123

页数：16

共 33 条

[1] Almansa A.(2000)Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale-selection IEEE Transactions on Image Processing 9 2027-2042
[2] Lindeberg T.(1994)Performance of optical flow techniques International Journal of Computer Vision 12 43-77
[3] Barron J.(1996)Generating spatiotemporal models from examples Image and Vision Computing 14 525-532
[4] Fleet D.(1991)Multidimensional orientation estimation with applications to texture analysis and optical flow IEEE Transactions on Pattern Analysis and Machine Intelligence 13 775-790
[5] Beauchemin S.(1998)Eigentracking: Robust matching and tracking of articulated objects using view-based representation International Journal of Computer Vision 26 63-84
[6] Baumberg A.M.(1998)Condensation—conditional density propagation for visual tracking International Journal of Computer Vision 29 5-28
[7] Hogg D.(1998)Feature tracking with automatic selection of spatial scales Computer Vision and Image Understanding 71 385-392
[8] Bigün J.(1996)Direct computation of shape cues using scale-adapted spatial derivative operators International Journal of Computer Vision 17 163-191
[9] Granlund G.(1987)Representation of local geometry in the visual system Biological Cybernetics 55 367-375
[10] Wiklund J.(1988)Scale-time Biological Cybernetics 58 159-162

← 1 2 3 4 →