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ICCV
2011
IEEE
12 years 4 months ago
Dynamic Manifold Warping for View Invariant Action Recognition
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
Dian Gong, Gerard Medioni
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 4 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
ICASSP
2011
IEEE
12 years 8 months ago
Hierarchical Latent Dirichlet Allocation models for realistic action recognition
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
Heping Li, Jie Liu, Shuwu Zhang
RAS
2006
170views more  RAS 2006»
13 years 4 months ago
Hierarchical attentive multiple models for execution and recognition of actions
According to the motor theories of perception, the motor systems of an observer are actively involved in the perception of actions when these are performed by a demonstrator. In t...
Yiannis Demiris, Bassam Khadhouri
HUMO
2007
Springer
13 years 11 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