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» Gait-Based Recognition of Humans Using Continuous HMMs
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CVIU
2006
222views more  CVIU 2006»
14 years 10 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
AAAI
2010
14 years 11 months ago
Intelligently Aiding Human-Guided Correction of Speech Recognition
Correcting recognition errors is often necessary in a speech interface. These errors not only reduce users' overall entry rate, but can also lead to frustration. While making...
Keith Vertanen, Per Ola Kristensson
TIP
2008
165views more  TIP 2008»
14 years 9 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
ICASSP
2009
IEEE
15 years 4 months ago
A flat direct model for speech recognition
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
ICPR
2006
IEEE
15 years 11 months ago
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition
An intelligent robot is required for natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural Human-Robot Interaction (HRI). Previ...
A-Yeon Park, Hee-Deok Yang, Seong-Whan Lee