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» Pairwise Features for Human Action Recognition
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ICIP
2007
IEEE
14 years 1 months ago
Dominant Sets-Based Action Recognition using Image Sequence Matching
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Guan Luo
ICPR
2010
IEEE
14 years 21 days ago
The Human Action Image
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
Ricky Sethi, Amit Roy-Chowdhury
CVPR
2008
IEEE
14 years 9 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
MLMI
2005
Springer
14 years 1 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...
ICCV
2009
IEEE
13 years 5 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden