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HUMO
2007
Springer
14 years 3 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
BMVC
2010
13 years 6 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 ...
CVPR
2009
IEEE
15 years 4 months ago
View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems
In this paper, we consider the problem of categorizing videos of dynamic textures under varying view-point. We propose to model each video with a collection of Linear Dynamics S...
Avinash Ravichandran, René Vidal, Rizwan Ch...
ICCV
2005
IEEE
14 years 2 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
SCVMA
2004
Springer
14 years 2 months ago
Local Descriptors for Spatio-temporal Recognition
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
Ivan Laptev, Tony Lindeberg