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CRV
2008
IEEE
295views Robotics» more  CRV 2008»
16 years 1 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
ACSC
2007
IEEE
16 years 1 months ago
Exploring Human Judgement of Digital Imagery
Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
HUMO
2007
Springer
16 years 25 days ago
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
CCECE
2006
IEEE
16 years 23 days ago
Human Vs. Automatic Measurement of Biometric Sample Quality
Biometric systems are designed to identify a person based on physiological or behavioral characteristics. In order to predict the utility of a particular image for identification,...
Andy Adler, Tatyana Dembinsky
CVPR
2006
IEEE
16 years 23 days ago
Recognition of Composite Human Activities through Context-Free Grammar Based Representation
This paper describes a general methodology for automated recognition of complex human activities. The methodology uses a context-free grammar (CFG) based representation scheme to ...
Michael S. Ryoo, J. K. Aggarwal