| Biologically Inspired Features for Scene Classification in Video Surveillance | |
Huang, Kaiqi1; Tao, Dacheng2; Yuan, Yuan3 ; Li, Xuelong4; Tan, Tieniu1; D. Tao
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| 2011-02-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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| ISSN | 1083-4419 |
| 卷号 | 41期号:1页码:307-313 |
| 摘要 | Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective, and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper. |
| 文章类型 | Article |
| 关键词 | Biologically Inspired Scene Classification Video Surveillance |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TSMCB.2009.2037923 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | DISCRIMINANT-ANALYSIS ; RECOGNITION ; CATEGORIES ; SYSTEM |
| 语种 | 英语 |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000286388300025 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8566 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | D. Tao |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Kaiqi,Tao, Dacheng,Yuan, Yuan,et al. Biologically Inspired Features for Scene Classification in Video Surveillance[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2011,41(1):307-313. |
| APA | Huang, Kaiqi,Tao, Dacheng,Yuan, Yuan,Li, Xuelong,Tan, Tieniu,&D. Tao.(2011).Biologically Inspired Features for Scene Classification in Video Surveillance.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,41(1),307-313. |
| MLA | Huang, Kaiqi,et al."Biologically Inspired Features for Scene Classification in Video Surveillance".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 41.1(2011):307-313. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Biologically Inspire（985KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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