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ICCV
2007
IEEE
16 years 8 months ago
A Biologically Inspired System for Action Recognition
We present a biologically-motivated system for the recognition of actions from video sequences. The approach builds on recent work on object recognition based on hierarchical feed...
Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso Po...
CHI
2004
ACM
16 years 6 months ago
Presiding over accidents: system direction of human action
As human-computer interaction becomes more closely modeled on human-human interaction, new techniques and strategies for human-computer interaction are required. In response to th...
Jeffrey Heer, Nathaniel Good, Ana Ramirez, Marc Da...
CVPR
2010
IEEE
16 years 2 months ago
Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition
Recent work shows how to use local spatio-temporal features to learn models of realistic human actions from video. However, existing methods typically rely on a predefined spatial...
Adriana Kovashka, Kristen Grauman
CIARP
2009
Springer
16 years 23 days ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
149
Voted
VR
2008
IEEE
142views Virtual Reality» more  VR 2008»
16 years 17 days ago
IPSViz: An After-Action Review Tool for Human-Virtual Human Experiences
This paper proposes after-action review (AAR) with Human-Virtual human (H-VH) experiences. H-VH experiences are seeing increased use in training for real-world, H-H experiences. T...
Andrew Raij, Benjamin Lok