中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共13条,第1-10条 帮助

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Siamese Tracking from Single Point Initialization 期刊论文  OAI收割
SENSORS, 2019, 卷号: 19, 期号: 3, 页码: 1-17
作者:  
Xu Z(徐峥);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
  |  收藏  |  浏览/下载:21/0  |  提交时间:2019/03/30
Tracking and Guiding Multiple Laser Beams Based on Beam and Target Alignment System 期刊论文  OAI收割
International Journal of Automation and Computing, 2015, 卷号: 12, 期号: 6, 页码: 600-610
作者:  
Zhang, Pengcheng(张鹏程);  Xu, De(徐德)
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/01/05
Stable tracking point extraction for infrared extended target based on contour smoothing and minimal inscribed circle 期刊论文  OAI收割
OPTICAL ENGINEERING, 2013, 卷号: 52, 期号: 11
作者:  
Lei, Tao;  Yang, Sihan;  Jiang, Ping;  Wu, Qinzhang
收藏  |  浏览/下载:24/0  |  提交时间:2015/04/17
Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 5, 页码: 1778-1792
作者:  
Hu, Weiming;  Zhou, Xue;  Li, Wei;  Luo, Wenhan;  Zhang, Xiaoqin
收藏  |  浏览/下载:38/0  |  提交时间:2015/08/12
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:60/0  |  提交时间:2015/09/02
Semantic shape similarity-based contour tracking evaluation 期刊论文  OAI收割
OPTICAL ENGINEERING, 2011, 卷号: 50, 期号: 10
作者:  
Zhang, Xiaoqin;  Luo, Wenhan;  Zhao, Li;  Li, Wei;  Hu, Weiming
收藏  |  浏览/下载:29/0  |  提交时间:2015/08/12
自然场景下视觉目标跟踪的关键技术研究 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, 2010
作者:  
马丽莉
收藏  |  浏览/下载:57/0  |  提交时间:2015/09/02
人的跟踪与遮挡处理 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, 2008
作者:  
周雪
收藏  |  浏览/下载:54/0  |  提交时间:2015/09/02
Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China
Meng B.; Zhu M.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.  
Tracking motile algal cells with a deformable model 期刊论文  OAI收割
NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2007, 卷号: 50, 期号: 5, 页码: 1285-1292
作者:  
Wen, Chenglu;  Wang, Pengbo;  Li, Wei;  Zhao, Jinquan;  Li, Rui
  |  收藏  |  浏览/下载:14/0  |  提交时间:2019/04/09