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» Recognizing Facial Expressions by Tracking Feature Shapes
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FGR
2000
IEEE
158views Biometrics» more  FGR 2000»
15 years 1 months ago
Dual-State Parametric Eye Tracking
Most eye trackers work well for open eyes. However, blinking is a physiological necessity for humans. Moreover, for applicationssuch as facial expression analysis and driver aware...
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
IJCV
2000
230views more  IJCV 2000»
14 years 9 months ago
Design and Use of Linear Models for Image Motion Analysis
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The linear model coefficients are straightforward to estim...
David J. Fleet, Michael J. Black, Yaser Yacoob, Al...
TIP
2002
131views more  TIP 2002»
14 years 9 months ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
FLAIRS
2006
14 years 11 months ago
Design, Implementation and Performance Analysis of Pervasive Surveillance Networks
Pervasive surveillance implies the continuous tracking of multiple targets as they move about the monitored region. The tasks to be performed by a surveillance system are expresse...
Amit Goradia, Zhiwei Cen, Clayton Haffner, Ning Xi...
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GW
2005
Springer
136views Biometrics» more  GW 2005»
15 years 3 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...