Semi-supervised Elastic net for pedestrian counting
文献类型:期刊论文
作者 | Tan, Ben1; Zhang, Junping1; Wang, Liang2![]() |
刊名 | PATTERN RECOGNITION
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出版日期 | 2011-10-01 |
卷号 | 44期号:10-11页码:2297-2304 |
关键词 | Semi-supervised regression Elastic net Pedestrian counting Feature selection Statistical landscape features |
英文摘要 | Pedestrian counting plays an important role in public safety and intelligent transportation. Most pedestrian counting algorithms based on supervised learning require much labeling work and rarely exploit the topological information of unlabelled data in a video. In this paper, we propose a Semi-Supervised Elastic Net (SSEN) regression method by utilizing sequential information between unlabelled samples and their temporally neighboring samples as a regularization term. Compared with a state-of-the-art algorithm, extensive experiments indicate that our algorithm can not only select sparse representative features from the original feature space without losing their interpretability, but also attain superior prediction performance with only very few labelled frames. (C) 2010 Elsevier Ltd. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
研究领域[WOS] | Computer Science ; Engineering |
关键词[WOS] | REGRESSION ; SELECTION ; TEXTURE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000292849000008 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9751] ![]() |
专题 | 自动化研究所_智能感知与计算研究中心 |
作者单位 | 1.Fudan Univ, Sch Comp Sci, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Tan, Ben,Zhang, Junping,Wang, Liang. Semi-supervised Elastic net for pedestrian counting[J]. PATTERN RECOGNITION,2011,44(10-11):2297-2304. |
APA | Tan, Ben,Zhang, Junping,&Wang, Liang.(2011).Semi-supervised Elastic net for pedestrian counting.PATTERN RECOGNITION,44(10-11),2297-2304. |
MLA | Tan, Ben,et al."Semi-supervised Elastic net for pedestrian counting".PATTERN RECOGNITION 44.10-11(2011):2297-2304. |
入库方式: OAI收割
来源:自动化研究所
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