An efficient moving target identification method
暂无分享,去创建一个
Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background registration, we can determine those candidate regions that have the same or similar noise distributions to the background's which should be background regions, and those candidate regions that have different noise distributions from the background's which should be the target region. In particular, when there is only one target in the image, we can simply determine that the candidate region whose noise distribution is most different from the background's is the true target.
[1] Zen Chen,et al. Computer vision for robust 3D aircraft recognition with fast library search , 1991, Pattern Recognit..
[2] Alexander A. Sawchuk,et al. A region matching motion estimation algorithm , 1991, CVGIP Image Underst..
[3] Dana H. Ballard,et al. Computer Vision , 1982 .
[4] Bir Bhanu,et al. Automatic Target Recognition: State of the Art Survey , 1986, IEEE Transactions on Aerospace and Electronic Systems.