中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
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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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