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CVIU
2006
222views more  CVIU 2006»
13 years 6 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. ...
PERVASIVE
2004
Springer
14 years 2 days ago
Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers
Most gesture recognition systems analyze gestures intended for communication (e.g. sign language) or for command (e.g. navigation in a virtual world). We attempt instead to recogn...
Paul Lukowicz, Jamie A. Ward, Holger Junker, Mathi...
CVIU
2006
317views more  CVIU 2006»
13 years 6 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
ICDAR
2009
IEEE
14 years 1 months ago
HMM-Based Handwritten Amharic Word Recognition with Feature Concatenation
Amharic is the official language of Ethiopia and uses Ethiopic script for writing. In this paper, we present writer-independent HMM-based Amharic word recognition for offline hand...
Yaregal Assabie, Josef Bigün
ICCV
2005
IEEE
14 years 10 days ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid