Multi-spectral pedestrian detection
文献类型：期刊论文
| 作者 | Yuan, Yuan ; Lu, Xiaoqiang; Chen, Xiao
|
| 刊名 | signal processing
 |
| 出版日期 | 2015-05-01 |
| 卷号 | 110页码:94-100 |
| 关键词 | Human behavior analysis Pedestrian detection Multi-spectral Near-infrared Latent SVM |
| 英文摘要 | pedestrian detection is a crucial problem in human pose recovery and behavior analysis, especially in applications such as visual surveillance, robotics, and drive-assistance systems. recently, most pedestrian detection approaches of machine learning and signal processing have achieved advanced performance in traditional natural images. however, there exists a limitation on the accuracy in pedestrian detection. the reason behind this is that supporting information for detecting pedestrian is limited. in fact, spectrum besides visible light can provide abundant discriminative information for pedestrian detection. therefore, it is significative to exploit multi-spectral information for detection task. in this paper, a multi-spectral based pedestrian detection approach is proposed, which not only takes use of the information of red, green and blue (rgb) bands, but also incorporates the information of near-infrared spectrum into the detection process. latent variable support vector machines (l-svm) are employed to train the multi-spectral pedestrian detection model. experiments are implemented on a new dataset containing 1826 multi-spectral image pairs. the experimental results illustrate that utilizing multi-spectral information achieves significant performance improvement in a pedestrian detection task compared with only using rgb information. (c) 2014 elsevier b.v. all rights reserved. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | engineering, electrical & electronic |
| 研究领域[WOS] | engineering |
| 关键词[WOS] | appearance ; tracking |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000350183700010 |
| 公开日期 | 2015-07-14 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/24089]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Yuan,Lu, Xiaoqiang,Chen, Xiao. Multi-spectral pedestrian detection[J]. signal processing,2015,110:94-100. |
| APA | Yuan, Yuan,Lu, Xiaoqiang,&Chen, Xiao.(2015).Multi-spectral pedestrian detection.signal processing,110,94-100. |
| MLA | Yuan, Yuan,et al."Multi-spectral pedestrian detection".signal processing 110(2015):94-100. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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