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» Tracking objects in video using motion and appearance models
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IJCV
2010
261views more  IJCV 2010»
13 years 7 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
CVPR
2007
IEEE
14 years 11 months ago
Tracking as Repeated Figure/Ground Segmentation
Tracking over a long period of time is challenging as the appearance, shape and scale of the object in question may vary. We propose a paradigm of tracking by repeatedly segmentin...
Xiaofeng Ren, Jitendra Malik
PAMI
2008
189views more  PAMI 2008»
13 years 9 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
HVEI
2009
13 years 7 months ago
Motion-based perceptual quality assessment of video
There is a great deal of interest in methods to assess the perceptual quality of a video sequence in a full reference framework. Motion plays an important role in human perception...
Kalpana Seshadrinathan, Alan C. Bovik
PRL
2007
209views more  PRL 2007»
13 years 8 months ago
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models
Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can ...
Fadi Dornaika, Angel Domingo Sappa