CVPR
2012
IEEE
12 years 2 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
AMDO
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
ACII
2007
Springer
14 years 4 months ago
2007
Springer
In this paper we present a novel framework for analysing non-stylised motion in order to detect implicitly communicated affect. Our approach makes use of a segmentation technique w...
IROS
2008
IEEE
14 years 6 months ago
2008
IEEE
— The desire for a high mobility-to-size ratio in mobile robots has led to the exploration of many new methods of locomotion, one of which is tumbling. To the authors’ knowledg...
IROS
2008
IEEE
14 years 6 months ago
2008
IEEE
Abstract— This paper develops an approach for on-line segmentation of whole body human motion patterns during human motion observation and learning. A Hidden Markov Model is used...
ICRA
2008
IEEE
14 years 7 months ago
2008
IEEE
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 ...
CVPR
2009
IEEE
14 years 7 months ago
2009
IEEE
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...