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ICCV
2007
IEEE
15 years 10 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
JVCA
2007
125views more  JVCA 2007»
15 years 4 months ago
Crowd motion capture
In this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data-driven animation models (such as motion capture) in the c...
Nicolas Courty, Thomas Corpetti
AMDO
2006
Springer
15 years 8 months ago
Monocular Tracking with a Mixture of View-Dependent Learned Models
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
TSMC
2010
14 years 11 months ago
Dual Gait Generative Models for Human Motion Estimation From a Single Camera
This paper presents a general gait representation framework for video-based human motion estimation. Specifically, we want to estimate the kinematics of an unknown gait from image ...
Xin Zhang, Guoliang Fan
ACMACE
2006
ACM
15 years 10 months ago
Motion-capture-based avatar control framework in third-person view virtual environments
This paper presents a motion-capture-based control framework for third-person view virtual reality applications. Using motion capture devices, a user can directly control the full...
Masaki Oshita