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» Spatiotemporal saliency for human action recognition
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CVPR
2010
IEEE
15 years 6 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
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
14 years 8 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
CVIU
2006
317views more  CVIU 2006»
14 years 9 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
CVIU
2008
207views more  CVIU 2008»
14 years 9 months ago
A differential geometric approach to representing the human actions
This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at eac...
Alper Yilmaz, Mubarak Shah
ICPR
2010
IEEE
15 years 3 months ago
A Global Spatio-Temporal Representation for Action Recognition
In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition. This representation is inspired by the fact that human ...
Chao Deng, Xiaochun Cao