Hand posture estimation in complex backgrounds by considering mis-match of model

Authors:
Akihiro Imai;Nobutaka Shimada;Yoshiaki Shirai
Affiliations:
Dept.of Computer-Controlled Mechanical Systems, Osaka University, Suita, Osaka, Japan;Dept.of Human and Computer Intelligence, Ritumeikan University, Kusatsu, Shiga, Japan;Dept.of Human and Computer Intelligence, Ritumeikan University, Kusatsu, Shiga, Japan
Venue:
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Year:
2007

Citing 13
Cited 2

Active shape models—their training and application

Computer Vision and Image Understanding
Contour Tracking by Stochastic Propagation of Conditional Density

ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Towards 3D hand tracking using a deformable model

FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Real-Time 3-D Hand Posture Estimation Based on 2-D Appearance Retrieval Using Monocular Camera

RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Tracking Articulated Hand Motion with Eigen Dynamics Analysis

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
3D Hand Reconstruction from a Monocular View

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Analyzing and Capturing Articulated Hand Motion in Image Sequences

IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter

IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametric correspondence and chamfer matching: two new techniques for image matching

IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Hand gesture recognition using depth data

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
3-D hand posture recognition by training contour variation

FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition

Model-based hand tracking by chamfer distance and adaptive color learning using particle filter

Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Image set-based hand shape recognition using camera selection driven by multi-class AdaBoosting

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II

Quantified Score

Hi-index	0.03

Visualization

Abstract

This paper proposes a novel method of estimating 3-D hand posture from images observed in complex backgrounds. Conventional methods often cause mistakes by mis-matches of local image features. Our method considers possibility of the mis-match between each posture model appearance and the other model appearances in a Baysian stochastic estimation form by introducing a novel likelihood concept "Mistakenly Matching Likelihood (MML)". The correct posture model is discriminated from mis-matches by MML-based posture candidate evaluation. The method is applied to hand tracking problem in complex backgrounds and its effectiveness is shown.