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Publication
468views
13 years 4 months ago
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
When appearance variation of object and its background, partial occlusion or deterioration in object images occurs, most existing visual tracking methods tend to fail in tracking ...
Zhenjun Han, Jianbin Jiao, Baochang Zhang, Qixiang...
ECCV
1996
Springer
14 years 10 months ago
Image Recognition with Occlusions
We study the problem of how to detect \interesting objects" appeared in a given image, I. Our approach is to treat it as a function approximation problem based on an over-redu...
Tyng-Luh Liu, Michael J. Donahue, Davi Geiger, Rob...
SMI
2005
IEEE
106views Image Analysis» more  SMI 2005»
14 years 1 months ago
Shape Complexity Based on Mutual Information
Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
AIPR
2000
IEEE
14 years 15 days ago
Moving Object Tracking in Video
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compare...
Yiwei Wang, John F. Doherty, Robert E. Van Dyck
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 6 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...