Moving Object Detection in Aerial Video

	Moving Object Detection in Aerial Video
	Yunfei Wang; Zhaoxiang Zhang; Yunhong Wang
	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
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/13255]
专题	自动化研究所_类脑智能研究中心
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.