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» Detecting Occlusion for Hidden Markov Modeled Shapes
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BC
2004
98views more  BC 2004»
13 years 8 months ago
A stochastic model for the detection of coherent motion
A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in dete...
Jason Lee, Willy Wong
ICPR
2006
IEEE
14 years 9 months ago
Detecting Coarticulation in Sign Language using Conditional Random Fields
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
Ruiduo Yang, Sudeep Sarkar
ICIP
2008
IEEE
14 years 10 months ago
Omnidirectional tracking and recognition of persons in planar views
In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are ex...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICPR
2004
IEEE
14 years 9 months ago
Eye Tracking Using Markov Models
We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether th...
A. M. Bagci, Ashfaq A. Khokhar, E. Cetin, Rashid A...
ISVC
2010
Springer
13 years 7 months ago
On Supervised Human Activity Analysis for Structured Environments
We consider the problem of developing an automated visual solution for detecting human activities within industrial environments. This has been performed using an overhead view. Th...
Banafshe Arbab-Zavar, Imed Bouchrika, John N. Cart...