28 search results - page 2 / 6 » Dual generative models for human motion estimation from an u... |
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
ECCV
2000
Springer
14 years 7 months ago
2000
Springer
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...
ISCIS
2003
Springer
13 years 10 months ago
2003
Springer
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Recovering the 3D coordinates of various joints of the human body from an image is a critical first step for several model-based human tracking and optical motion capture systems....
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...