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» Feature Seeding for Action Recognition
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PAMI
2011
12 years 10 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
14 years 2 months ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
ECCV
2010
Springer
14 years 28 days ago
Representing Pairwise Spatial and Temporal Relations for Action Recognition
The popular bag-of-words paradigm for action recognition tasks is based on building histograms of quantized features, typically at the cost of discarding all information about rela...
AMDO
2006
Springer
13 years 11 months ago
Shape-Motion Based Athlete Tracking for Multilevel Action Recognition
An automatic human shape-motion analysis method based on a fusion architecture is proposed for human action recognition in videos. Robust shape-motion features are extracted from h...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...
BMVC
2010
13 years 5 months ago
Improving bag-of-features action recognition with non-local cues
Local space-time features have recently shown promising results within Bag-of-Features (BoF) approach to action recognition in video. Pure local features and descriptors, however,...
Muhammad Muneeb Ullah, Sobhan Naderi Parizi, Ivan ...