Spatio-Temporal Interest Points Matching in Video

被引：0

作者：

Elabbessi, Sarra ^{[1
]}

Abdellaoui, Mehrez ^{[2
]}

Douik, Ali ^{[3
]}

机构：

[1] Univ Monastir, Natl Engn Sch Monastir, LARATSI Lab, Monastir, Tunisia

[2] Univ Kairouan, Higher Inst Appl Sci & Technol Kairouan, LARATSI Lab, Kairouan, Tunisia

[3] Univ Sousse, Natl Engn Sch Sousse, LARATSI Lab, Sousse, Tunisia

来源：

2015 GLOBAL SUMMIT ON COMPUTER & INFORMATION TECHNOLOGY (GSCIT) | 2015年

关键词：

Interest point; spatio-temporal Harris; Matching; KDTree;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Despite the wide applications of matching descriptors, much work hasn't been done on it. In the current paper, we extended the use of the existing techniques in object detection in 2D images to video sequences by extracting the Spatio-temporal Interest points using spatio-temporal Harris detector. Features descriptors are computed on the pixels around these interest points. To match between descriptors, we build a KDTree using nearest neighbor search.

引用

页数：4

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