| Item type |
FIT(1) |
| 公開日 |
2010-08-20 |
| タイトル |
|
|
言語 |
en |
|
タイトル |
F-040 Vehicle-borne Pedestrian Detection by Fusing Horizontal Laser Data and Video Images |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者所属(英) |
|
|
|
en |
|
|
The Center for Spatial Information Science, University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
The State Key Lab of Machine Perception, Peking University |
| 著者所属(英) |
|
|
|
en |
|
|
The Center for Spatial Information Science, University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
The Center for Spatial Information Science, University of Tokyo |
| 著者所属(英) |
|
|
|
en |
|
|
The State Key Lab of Machine Perception, Peking University |
| 著者名(英) |
Zhang, Quanshi
Zhao, Huijing
Shao, Xiaowei
Shibasaki, Ryosuke
Zha, Hongbin
|
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
This paper describes a system that uses horizontal laser data to improve image-based pedestrian detection. Our image-based pedestrian detection is an extension of Depoortere et al.'s work. We build a 4-layer cascade of classifiers using both Haar wavelet features and Histograms of Oriented Gradients (HOG) features. Our main contribution is to use horizontal laser data to estimate probable positions of pedestrians on the ground plane, which limits pedestrians' searching range in an image to a small area and certain scales. We attempt to apply a laser-based SLAM system on our intelligent vehicle to further reduce the pedestrians' searching area to regions of moving objects and newly observed objects. Our system has significantly lower false positive rate and computation cost, compared to image-based pedestrian detection. To the best of our knowledge, this is the first trial to combine the laser-based moving object detection with image-based pedestrian detection. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA1242354X |
| 書誌情報 |
情報科学技術フォーラム講演論文集
巻 9,
号 2,
p. 467-472,
発行日 2010-08-20
|
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
KJ00006917157.pdf (1.7 MB)
