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ASC
2004
13 years 4 months ago
Recognizing environments from action sequences using self-organizing maps
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Seiji Yamada
AAAI
2004
13 years 6 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
ECCV
2002
Springer
14 years 6 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
HUC
1999
Springer
13 years 9 months ago
Advanced Interaction in Context
Mobile information appliances are increasingly used in numerous different situations and locations, setting new requirements to their interaction methods. When the user's situ...
Albrecht Schmidt, Kofi Asante Aidoo, Antti Takaluo...
CVPR
2008
IEEE
14 years 6 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah