Ten Years of Pedestrian Detection, What Have We Learned?

被引：357

作者：

Benenson, Rodrigo ^{[1
]}

Omran, Mohamed ^{[1
]}

Hosang, Jan ^{[1
]}

Schiele, Bernt ^{[1
]}

机构：

[1] Max Planck Inst Informat, D-66123 Saarbrucken, Germany

来源：

COMPUTER VISION - ECCV 2014 WORKSHOPS, PT II | 2015年 / 8926卷

关键词：

D O I：

10.1007/978-3-319-16181-5_47

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Paper-by-paper results make it easy to miss the forest for the trees. We analyse the remarkable progress of the last decade by discussing the main ideas explored in the 40+ detectors currently present in the Caltech pedestrian detection benchmark. We observe that there exist three families of approaches, all currently reaching similar detection quality. Based on our analysis, we study the complementarity of the most promising ideas by combining multiple published strategies. This new decision forest detector achieves the current best known performance on the challenging Caltech-USA dataset.

引用

页码：613 / 627

页数：15