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ICCV
2007
IEEE
15 years 3 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
84
Voted
JVCA
2007
125views more  JVCA 2007»
14 years 9 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
88
Voted
AMDO
2006
Springer
15 years 1 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 4 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
75
Voted
ACMACE
2006
ACM
15 years 3 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