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FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
13 years 11 months ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
ICIP
2008
IEEE
14 years 6 months ago
People re-detection using Adaboost with sift and color correlogram
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance ...
Lei Hu, Shuqiang Jiang, Qingming Huang, Wen Gao
ICML
2005
IEEE
14 years 5 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
ICPR
2010
IEEE
13 years 7 months ago
Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response
Human-area segmentation is a major issue in video surveillance. Many existing methods estimate individual human areas from the foreground area obtained by background subtraction, ...
Hiroaki Ando, Hironobu Fujiyoshi
ICMCS
2006
IEEE
153views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Learning-Based Interactive Video Retrieval System
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
Chi-Jiunn Wu, Hui-Chi Zeng, Szu-Hao Huang, Shang-H...