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ECCV
2000
Springer
16 years 9 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...
RAS
2008
142views more  RAS 2008»
15 years 6 months ago
Motion intention recognition in robot assisted applications
Acquiring, representing and modeling human skills is one of the key research areas in teleoperation, programming-by-demonstration and human-machine collaborative settings. The pro...
Daniel Aarno, Danica Kragic
MM
2009
ACM
252views Multimedia» more  MM 2009»
16 years 1 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
ECIS
2004
15 years 8 months ago
E-learning: planned and emergent strategies
E-learning is a new strategic arena for higher education, and higher education institutions (HEIs) need to acquire the necessary competencies and capabilities to participate. Thes...
Julian M. Sims, Philip Powell, Richard T. Vidgen
CVPR
2008
IEEE
16 years 9 months ago
Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation pr...
René Vidal, Roberto Tron, Shankar Rao, Yi M...