Survey of Spatio-Temporal Interest Point Detection Algorithms in Video
文献类型：期刊论文
| 作者 | Li, Yanshan1; Xia, Rongjie1; Huang, Qinghua2,3,4; Xie, Weixin1; Li, Xuelong5 |
| 刊名 | ieee access
 |
| 出版日期 | 2017 |
| 卷号 | 5页码:10323-10331 |
| 关键词 | Video spatio-temporal interest point (STIP) local invariant feature STIP detection algorithm |
| ISSN号 | 2169-3536 |
| 产权排序 | 5 |
| 通讯作者 | huang, qh (reprint author), shenzhen univ, coll informat engn, shenzhen 518060, peoples r china. |
| 英文摘要 | recently, increasing attention has been paid to the detection of spatio-temporal interest points (stips), which has become a key technique and research focus in the field of computer vision. its applications include human action recognition, video surveillance, video summarization, and content based video retrieval. amount of work has been done by many researchers in stip detection. this paper presents a comprehensive review on stip detection algorithms. we first propose the detailed introductions and analysis of the existing stip detection algorithms. stip detection algorithms are robust in detecting interest points for video in the spatio-temporal domain next, we summarize the existing challenges in the stip detection for video, such as low time efficiency, poor robustness with respect to camera movement, illumination change, perspective occlusion, and background clutter. this paper also presents the application situations of stip and discusses the potential development trends of stip detection. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | computer science, information systems ; engineering, electrical & electronic ; telecommunications |
| 类目[WOS] | computer science, information systems ; engineering, electrical & electronic ; telecommunications |
| 研究领域[WOS] | computer science ; engineering ; telecommunications |
| 关键词[WOS] | invariant feature transform ; multispectral image ; action recognition ; anomaly detection ; scale ; features ; sift |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000404360000027 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/29103]  |
| 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.Shenzhen Univ, ATR Natl Key Lab Def Technol, Shenzhen 518060, Peoples R China 2.Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China 3.South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 4.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning OPTIMAL, Sch Elect & Informat, Xian 710072, Peoples R China 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yanshan,Xia, Rongjie,Huang, Qinghua,et al. Survey of Spatio-Temporal Interest Point Detection Algorithms in Video[J]. ieee access,2017,5:10323-10331. |
| APA | Li, Yanshan,Xia, Rongjie,Huang, Qinghua,Xie, Weixin,&Li, Xuelong.(2017).Survey of Spatio-Temporal Interest Point Detection Algorithms in Video.ieee access,5,10323-10331. |
| MLA | Li, Yanshan,et al."Survey of Spatio-Temporal Interest Point Detection Algorithms in Video".ieee access 5(2017):10323-10331. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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