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CVPR
2008
IEEE
16 years 3 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
138
Voted
VRST
2004
ACM
15 years 6 months ago
Animating reactive motions for biped locomotion
In this paper, we propose a new method for simulating reactive motions for running or walking human figures. The goal is to generate realistic animations of how humans compensate...
Taku Komura, Howard Leung, James Kuffner
132
Voted
ICCV
2007
IEEE
16 years 2 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...
FGR
2006
IEEE
197views Biometrics» more  FGR 2006»
15 years 7 months ago
A Full-Body Gesture Database for Automatic Gesture Recognition
This paper presents a full-body gesture database which contains 2D video data and 3D motion data of 14 normal gestures, 10 abnormal gestures and 30 command gestures for 20 subject...
Bon-Woo Hwang, Sungmin Kim, Seong-Whan Lee
AMDO
2006
Springer
15 years 4 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