A new method for robust contour tracking in cardiac image sequences

2005 ◽  
Author(s):  
Shoujun Zhou ◽  
Liangbin ◽  
Wufan Chen
Keyword(s):  
Image Sequences ◽  
New Method ◽  
Contour Tracking ◽  
Cardiac Image

Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models

2001 ◽  
pp. 446-452 ◽  
Author(s):  
Boudewijn P.F. Lelieveldt ◽  
Rob J. van der Geest ◽  
Johan H.C. Reiber ◽  
Johan G. Bosch ◽  
Steven C. Mitchell ◽  
...  
Keyword(s):  
Image Sequences ◽  
Motion Models ◽  
Cardiac Image ◽  
Active Appearance

Contour tracking over image sequences

2002 ◽  
Author(s):  
M. Paterni ◽  
M. Demi ◽  
M. Kozakova ◽  
P. Marraccini ◽  
C. Palombo
Keyword(s):  
Image Sequences ◽  
Contour Tracking

Feature competition and partial sparse shape modeling for cardiac image sequences segmentation

2015 ◽  
Vol 149 ◽  
pp. 904-913 ◽  
Author(s):  
Xianjing Qin ◽  
Yan Tian ◽  
Pingkun Yan
Keyword(s):  
Image Sequences ◽  
Shape Modeling ◽  
Cardiac Image

A new method for the computation of motion from image sequences

2005 ◽  
Author(s):  
R. Iyer ◽  
R. Holsapple ◽  
P. Chandler
Keyword(s):  
Image Sequences ◽  
New Method

scholarly journals Deformable trellis: open contour tracking in bio-image sequences

2008 ◽  
Author(s):  
M.E. Sargin ◽  
A. Altinok ◽  
K. Rose ◽  
B.S. Manjunath
Keyword(s):  
Image Sequences ◽  
Contour Tracking ◽  
Open Contour

Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences

2021 ◽  
pp. 102170
Author(s):  
Saidi Guo ◽  
Lin Xu ◽  
Cheng Feng ◽  
Huahua Xiong ◽  
Zhifan Gao ◽  
...  
Keyword(s):  
Image Sequences ◽  
Cardiac Image ◽  
Shot Segmentation ◽  
Semantic Adaptation ◽  
Multi Level

Human Action Recognition Based on Improved MIL

2015 ◽  
Vol 713-715 ◽  
pp. 2152-2155 ◽  
Author(s):  
Shao Ping Zhu
Keyword(s):  
Computer Vision ◽  
Action Recognition ◽  
Heuristic Algorithm ◽  
Human Action Recognition ◽  
Human Action ◽  
Image Sequences ◽  
Multiple Instance Learning ◽  
New Method ◽  
Human Actions ◽  
Human Actions Recognition

According to the problem that achieves robust human actions recognition from image sequences in computer vision, using the Iterative Querying Heuristic algorithm as a guide, a improved Multiple Instance Learning (MIL) method is proposed for human action recognition in video image sequences. Experiments show that the new method can quickly recognize human actions and achieve high recognition rates, and on the Weizmann database validate our analysis.

Robust contour tracking in ultrasound tongue image sequences

2016 ◽  
Vol 30 (3-5) ◽  
pp. 313-327 ◽  
Author(s):  
Kele Xu ◽  
Yin Yang ◽  
Maureen Stone ◽  
Aurore Jaumard-Hakoun ◽  
Clémence Leboullenger ◽  
...  
Keyword(s):  
Image Sequences ◽  
Contour Tracking

A new method to retrieve significant wave height from X-band marine radar image sequences

2014 ◽  
Vol 35 (11-12) ◽  
pp. 4559-4571 ◽  
Author(s):  
Zhongbiao Chen ◽  
Yijun He ◽  
Biao Zhang ◽  
Zhongfeng Qiu ◽  
Baoshu Yin
Keyword(s):  
Wave Height ◽  
Significant Wave Height ◽  
Image Sequences ◽  
New Method ◽  
Radar Image ◽  
Significant Wave ◽  
X Band ◽  
Marine Radar
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