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» Eye Tracking Using Markov Models
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ICCV
2005
IEEE
14 years 1 months ago
A Model-Based Vehicle Segmentation Method for Tracking
Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and tra...
Xuefeng Song, Ramakant Nevatia
ICCV
2007
IEEE
13 years 9 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
FGR
2004
IEEE
216views Biometrics» more  FGR 2004»
13 years 11 months ago
Multimodal Coordination of Facial Action, Head Rotation, and Eye Motion during Spontaneous Smiles
Both the configuration of facial features and the timing of facial actions are important to emotion and communication. Previous literature has focused on the former. We developed ...
Jeffrey F. Cohn, Lawrence Ian Reed, Tsuyoshi Moriy...
SASO
2007
IEEE
14 years 1 months ago
Emergence of Smooth Pursuit using Chaos
The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Sys...
Boris Duran, Giorgio Metta, Giulio Sandini
APGV
2005
ACM
132views Visualization» more  APGV 2005»
14 years 1 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala