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ICCV
2005
IEEE
13 years 11 months ago
HMM Based Falling Person Detection Using Both Audio and Video
Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance...
B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis &...
TIP
2010
119views more  TIP 2010»
13 years 2 days ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
CVPR
2006
IEEE
14 years 7 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
ENC
2004
IEEE
13 years 9 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar