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» Dining Activity Analysis Using a Hidden Markov Model
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ICMCS
2009
IEEE
115views Multimedia» more  ICMCS 2009»
14 years 9 months ago
A framework to detect and classify activity transitions in low-power applications
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
Jeffrey Boyd, Hari Sundaram
ICCV
2001
IEEE
16 years 1 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
94
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ICIAP
2001
Springer
15 years 11 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
WIAMIS
2009
IEEE
15 years 6 months ago
Archive film defect detection based on a hidden Markov model
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is traine...
Xiaosong Wang, Majid Mirmehdi
PERVASIVE
2004
Springer
15 years 5 months 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...