Hierarchical incorporation of shape and shape dynamics for flying bird detection
文献类型：期刊论文
| 作者 | Zhang, Jun1; Xu, Qunyu1; Cao, Xianbin1; Yan, Pingkun2; Li, Xuelong2
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| 刊名 | neurocomputing
 |
| 出版日期 | 2014-05-05 |
| 卷号 | 131页码:179-190 |
| 关键词 | Bird-aircraft collisions Flying bird detection Hierarchical feature Shape similarity Shape dynamics |
| ISSN号 | 0925-2312 |
| 英文摘要 | flying bird detection (fbd) is critical in avoiding bird-aircraft collisions. most existing approaches rely on motion detection to identify the flying bird, since it is a typical moving object. however, when there exist other moving objects, those methods often fail to distinguish flying birds from those objects due to the insufficiency of feature description. in this paper, we introduce a novel hierarchical feature model exploiting shape and shape dynamics to improve the ability of representing a flying bird, and then apply it to the fbd problem. as the shape of a flying bird is very distinctive in geometric structures and could provide discriminating spatial information, an improved shape context feature descriptor is proposed at the lower level to capture the spatial relations in bird shape. then the shape descriptor is extended into the spatio-temporal domain and a shape dynamics description is built at the higher level, in which a 4-state markovian model is adopted and is learned from training sequences. moreover, to build a mapping from the lower level to the higher level of the hierarchy, a shape similarity index (ssi) based matching mechanism is designed. we apply these two-level features for detecting flying bird for improved safety of aircrafts flying at low-altitude. the experimental results show that the proposed method is effective and outperforms three other existing vision-based fbd approaches. (c) 2013 elsevier b.v. all rights reserved. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | recognition |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000332805700020 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22399]  |
| 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.Beihang Univ, Sch Elect & Informat Engn, Natl Key Lab CNS ATM, Beijing 100191, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Jun,Xu, Qunyu,Cao, Xianbin,et al. Hierarchical incorporation of shape and shape dynamics for flying bird detection[J]. neurocomputing,2014,131:179-190. |
| APA | Zhang, Jun,Xu, Qunyu,Cao, Xianbin,Yan, Pingkun,&Li, Xuelong.(2014).Hierarchical incorporation of shape and shape dynamics for flying bird detection.neurocomputing,131,179-190. |
| MLA | Zhang, Jun,et al."Hierarchical incorporation of shape and shape dynamics for flying bird detection".neurocomputing 131(2014):179-190. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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