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» Algorithmic issues in modeling motion
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ICPR
2002
IEEE
14 years 2 months ago
A Robust Algorithm for Probabilistic Human Recognition From
Human recognition from video requires solving the two tasks, recognition and tracking, simultaneously. This leads to a parameterized time series state space model, representing bo...
Shaohua Kevin Zhou, Rama Chellappa
AMDO
2006
Springer
14 years 1 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
ICCV
2007
IEEE
14 years 11 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
ICCV
2003
IEEE
14 years 11 months ago
Towards Direct Recovery of Shape and Motion Parameters from Image Sequences
A novel procedure is presented to construct image-domain filters (receptive fields) that directly recover local motion and shape parameters. These receptive fields are derived fro...
Stephen Benoit, Frank P. Ferrie
PG
2007
IEEE
14 years 3 months ago
Multilinear Motion Synthesis with Level-of-Detail Controls
Interactive animation systems often use a level-of-detail (LOD) control to reduce the computational cost by eliminating unperceivable details of the scene. Most methods employ a m...
Tomohiko Mukai, Shigeru Kuriyama