Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data

Authors:
M. F. Valstar;I. Patras;M. Pantic
Affiliations:
Delft University of Technology;Delft University of Technology;Delft University of Technology
Venue:
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Year:
2005

Citing 0
Cited 13

Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships

IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting encoded dynamic features for facial expression recognition

Pattern Recognition Letters
Facial expression recognition based on Local Binary Patterns: A comprehensive study

Image and Vision Computing
Recognizing facial expression using particle filter based feature points tracker

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Dynamic soft encoded patterns for facial event analysis

Computer Vision and Image Understanding
Facial expression recognition on hexagonal structure using LBP-based histogram variances

MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Face for ambient interface

Ambient Intelligence in Everyday Life
Learning realistic facial expressions from web images

Pattern Recognition
Framework for reliable, real-time facial expression recognition for low resolution images

Pattern Recognition Letters
A review of motion analysis methods for human Nonverbal Communication Computing

Image and Vision Computing
Emotion recognition from geometric facial features using self-organizing map

Pattern Recognition
Spectral embedding based facial expression recognition with multiple features

Neurocomputing
An SVM-AdaBoost facial expression recognition system

Applied Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Pedestrian detection is a challenging vision task, especially applied to the automotive field where the background changes as the vehicle moves. This paper presents an extensive study upon human body models and the techniques suitable for being used ...