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» Learning 3D Appearance Models from Video
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ICASSP
2009
IEEE
14 years 3 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian
VMV
2004
171views Visualization» more  VMV 2004»
13 years 10 months ago
Cloth Motion from Optical Flow
This paper presents an algorithm for capturing the motion of deformable surfaces, in particular textured cloth. In a calibrated multi-camera setup, the optical flow between consec...
Volker Scholz, Marcus A. Magnor
AVBPA
2005
Springer
225views Biometrics» more  AVBPA 2005»
13 years 10 months ago
Video-Based Face Recognition Using Bayesian Inference Model
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
Wei Fan, Yunhong Wang, Tieniu Tan
CVPR
2012
IEEE
11 years 11 months ago
Multi-target tracking by online learning of non-linear motion patterns and robust appearance models
We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike most previous...
Bo Yang, Ram Nevatia
DAGM
2005
Springer
14 years 2 months ago
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways o...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, ...