Moving object detection in aerial video based on spatiotemporal saliency
文献类型：期刊论文
| 作者 | Shen Hao1; Li Shuxiao1 ; Zhu Chengfei1; Chang Hongxing1; Zhang Jinglan2
|
| 刊名 | CHINESE JOURNAL OF AERONAUTICS
 |
| 出版日期 | 2013-10-01 |
| 卷号 | 26期号:5页码:1211-1217 |
| 关键词 | Aerial video Computer vision Object detection Saliency Unmanned aerial vehicles |
| 英文摘要 | In this paper, the problem of moving object detection in aerial video is addressed. While motion cues have been extensively exploited in the literature, how to use spatial information is still an open problem. To deal with this issue, we propose a novel hierarchical moving target detection method based on spatiotemporal saliency. Temporal saliency is used to get a coarse segmentation, and spatial saliency is extracted to obtain the object's appearance details in candidate motion regions. Finally, by combining temporal and spatial saliency information, we can get refined detection results. Additionally, in order to give a full description of the object distribution, spatial saliency is detected in both pixel and region levels based on local contrast. Experiments conducted on the VIVID dataset show that the proposed method is efficient and accurate. (C). 2013 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Aerospace |
| 研究领域[WOS] | Engineering |
| 关键词[WOS] | REGION DETECTION ; MODEL |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000326047400013 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4150]  |
| 专题 | 自动化研究所_综合信息系统研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automaton, Beijing 100190, Peoples R China 2.Queensland Univ Technol, Brisbane, Qld 4001, Australia |
| 推荐引用方式 GB/T 7714 | Shen Hao,Li Shuxiao,Zhu Chengfei,et al. Moving object detection in aerial video based on spatiotemporal saliency[J]. CHINESE JOURNAL OF AERONAUTICS,2013,26(5):1211-1217. |
| APA | Shen Hao,Li Shuxiao,Zhu Chengfei,Chang Hongxing,&Zhang Jinglan.(2013).Moving object detection in aerial video based on spatiotemporal saliency.CHINESE JOURNAL OF AERONAUTICS,26(5),1211-1217. |
| MLA | Shen Hao,et al."Moving object detection in aerial video based on spatiotemporal saliency".CHINESE JOURNAL OF AERONAUTICS 26.5(2013):1211-1217. |
入库方式： OAI收割
来源：自动化研究所
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