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ICPR
2004
IEEE
14 years 6 months ago
Human Action Segmentation via Controlled Use of Missing Data in HMMs
Segmentation of individual actions from a stream of human motion is an open problem in computer vision. This paper approaches the problem of segmenting higher-level activities int...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
HAPTICS
2002
IEEE
13 years 9 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
MLMI
2005
Springer
13 years 10 months ago
Multimodal Integration for Meeting Group Action Segmentation and Recognition
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, ...
Marc Al-Hames, Alfred Dielmann, Daniel Gatica-Pere...
PRICAI
2004
Springer
13 years 10 months ago
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, G...
HAPTICS
2009
IEEE
13 years 11 months ago
Role determination in human-human interaction
Physical human-robot interaction can be significantly improved when being aware about the role each partner takes in a joint manipulation task. This holds especially in computer ...
Nikolay Stefanov, Angelika Peer, Martin Buss