Congested scene classification via efficient unsupervised feature learning and density estimation
文献类型：期刊论文
| 作者 | Yuan, Yuan1 ; Wan, Jia2,3; Wang, Qi2,3
|
| 刊名 | pattern recognition
 |
| 出版日期 | 2016-08-01 |
| 卷号 | 56页码:159-169 |
| 关键词 | Computer vision Unsupervised feature learning Scene classification Density estimation Spherical k-means Feature pooling |
| ISSN号 | 0031-3203 |
| 产权排序 | 1 |
| 英文摘要 | an unsupervised learning algorithm with density information considered is proposed for congested scene classification. though many works have been proposed to address general scene classification during the past years, congested scene classification is not adequately studied yet. in this paper, an efficient unsupervised feature learning approach with density information encoded is proposed to solve this problem. based on spherical k-means, a feature selection process is proposed to eliminate the learned noisy features. then, local density information which better reflects the crowdedness of a scene is encoded by a novel feature pooling strategy. the proposed method is evaluated on the assembled congested scene data set and uiuc-sports data set, and intensive comparative experiments justify the effectiveness of the proposed approach. (c) 2016 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] | image classification ; object detection ; context ; scale ; model |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000375360900013 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/28102]  |
| 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 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China 3.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Yuan,Wan, Jia,Wang, Qi. Congested scene classification via efficient unsupervised feature learning and density estimation[J]. pattern recognition,2016,56:159-169. |
| APA | Yuan, Yuan,Wan, Jia,&Wang, Qi.(2016).Congested scene classification via efficient unsupervised feature learning and density estimation.pattern recognition,56,159-169. |
| MLA | Yuan, Yuan,et al."Congested scene classification via efficient unsupervised feature learning and density estimation".pattern recognition 56(2016):159-169. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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