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» Semi-Markov Models for Sequence Segmentation
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AMDO
2006
Springer
15 years 2 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
CVPR
2009
IEEE
16 years 6 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert
VIP
2001
15 years 15 days ago
Modelling and Design of VAML
Non-linear interactive access to video is very important in video information management. The term non-linear refers to that there are more than one video streams delivering to us...
Congrong Liu, Jesse S. Jin
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
15 years 5 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
ICIP
2001
IEEE
16 years 21 days ago
B-spline active contours for fast video segmentation
Video segmentation is among the most important challenges of video processing and compression (MPEG-4 and MPEG-7). A drawback of classical methods is the computational cost due to...
Frédéric Precioso, Michel Barlaud