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144
Voted
ICCV
1995
IEEE
15 years 7 months ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
129
Voted
IVC
2006
171views more  IVC 2006»
15 years 3 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed
191
Voted
ICCV
2011
IEEE
14 years 7 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
156
Voted
ECCV
2000
Springer
16 years 5 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
144
Voted
ICIP
2004
IEEE
16 years 5 months ago
Markerless motion capture with single and multiple cameras
The aim of Optical Motion Capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant tk from a set of data Dk, capture...
Paris Kaimakis, Joan Lasenby