Combining efficient object localization and image classification

被引：137

作者：

Harzallah, Hedi ^{[1
]}

Jurie, Frederic ^{[1
]}

Schmid, Cordelia ^{[1
]}

机构：

[1] INRIA Grenoble, LJK, LEAR, Grenoble, France

来源：

2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) | 2009年

关键词：

D O I：

10.1109/ICCV.2009.5459257

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a combined approach for object localization and classification. Our contribution is twofold. (a) A contextual combination of localization and classification which shows that classification can improve detection and vice versa. (b) An efficient two stage sliding window object localization method that combines the efficiency of a linear classifier with the robustness of a sophisticated non-linear one. Experimental results evaluate the parameters of our two stage sliding window approach and show that our combined object localization and classification methods outperform the state-of-the-art on the PASCAL VOC 2007 and 2008 datasets.

引用

页码：237 / 244

页数：8