Moving Object Detection in Aerial Video
文献类型：会议论文
| 作者 | Yunfei Wang; Zhaoxiang Zhang ; Yunhong Wang
|
| 出版日期 | 2012-12-12 |
| 会议日期 | 12-15 December 2012 |
| 会议地点 | Boca Raton, Florida, USA |
| 关键词 | Aerial Video Moving Object Detection Optical Flow Gaussian Mixture Model |
| 英文摘要 | We address the problem of moving object detection in aerial video. Moving object detection in aerial video is still a challenging problem for the reason that when capturing the video the camera (or the platform) is moving all the time. As a result, the problem is detecting moving object from moving background which is much more difficult than the case that the background is constant. To this end, a novel approach is proposed in this paper. Moving object detection in stationary scene usually modeling the pixel value changes over time, but in aerial video the change does not have regular patterns. Therefore, we model the motion of the background rather than modeling the background directly. The optical flow between every two adjacent frames is computed first to get the motion information for each pixel. Based on this, we define a notion named ``pixel motion process" which means the motion changes (the optical flow value changes) of a particular pixel over time, and transfer the Gaussian mixture model framework used for modeling background in the stationary scene to model the background motion. The result is an accurate, adaptive and general background motion model which is used to detect foreground moving objects. Experimental results demonstrate the effectiveness of our approach. |
| 会议录 | ICMLA 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13255]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Yunfei Wang,Zhaoxiang Zhang,Yunhong Wang. Moving Object Detection in Aerial Video[C]. 见:. Boca Raton, Florida, USA. 12-15 December 2012. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。