Moving object detection in aerial video based on spatiotemporal saliency

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 ba...

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Bibliographic Details
Published in:Chinese journal of aeronautics 2013-10, Vol.26 (5), p.1211-1217
Main Authors: Shen, Hao, Li, Shuxiao, Zhu, Chengfei, Chang, Hongxing, Zhang, Jinglan
Format: Article
Language:English
Subjects:
Aerial video
Computer vision
Object detection
Saliency
Unmanned aerial vehicles
区域对象
局部对比度
时空
空间信息
航拍
视频
运动物体
运动目标检测
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Summary: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.
ISSN:1000-9361
DOI:10.1016/j.cja.2013.07.038