中国科学院机构知识库网格
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移动摄像机下目标的轮廓与区域跟踪 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012
作者:  
李威
收藏  |  浏览/下载:62/0  |  提交时间:2015/09/02
Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文  OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
Bai X.-G.; Dai M.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Zhang Y.-F.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise  and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally  Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds  which is robust and can improve noise immunity of the algorithm. 2010 IEEE.  
Detecting of multi-target in sea or sky background based on wavelet energy (EI CONFERENCE) 会议论文  OAI收割
Advanced Sensor Systems and Applications II, November 8, 2004 - November 12, 2004, Beijing, China
作者:  
Liu G.
收藏  |  浏览/下载:20/0  |  提交时间:2013/03/25
The technology of multi-target tracking is always detecting small targets in complex background. According to the frequency characteristic of nature background and small target  a method of detecting targets based on wavelet energy is suggested. The energy of targets in horizontal and vertical direction outclass that of background  or we can say  the gray degree of targets outclass that of background. Then through selecting adaptive region-value  targets and background can be divided. By the method of classifying  the figure centers of every target can be calculated. According to the figure centers of every target in several neighboring frames  the position and velocity of every target in next frame can be estimated by Kalman filter. Experiment results have shown that small targets in sea or sky nature background can be detected by this method  and they can be tracking.  
基于视觉的运动检测与跟踪算法研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2002
王萍
收藏  |  浏览/下载:42/0  |  提交时间:2015/09/02