Accurate 3D Tracking of Rigid Objects with Occlusion Using Active Appearance Models

Authors:
Pradit Mittrapiyanuruk;Guilherme N. DeSouza;Avinash C. Kak
Affiliations:
Purdue Univerisy, USA;The University of Western Australia;Purdue Univerisy, USA
Venue:
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Year:
2005

Citing 9
Cited 5

Visual tracking of known three-dimensional objects

International Journal of Computer Vision
Model-based object tracking in monocular image sequences of road traffic scenes

International Journal of Computer Vision
Compact Representations of Videos Through Dominant and Multiple Motion Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Active Appearance Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Using the Active Appearance Algorithm for Face and Facial Feature Tracking

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)
Face Recognition Based on Fitting a 3D Morphable Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Lucas-Kanade 20 Years On: A Unifying Framework

International Journal of Computer Vision
Real-time combined 2D+3D active appearance models

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Tracking appearances with occlusions

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition

Learning active appearance models from image sequences

VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
Learning AAM fitting through simulation

Pattern Recognition
3D morphable model parameter estimation

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Generative face alignment through 2.5D active appearance models

Computer Vision and Image Understanding
Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review

International Journal of Grid and High Performance Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper we present a new method for tracking rigid objects using a modified version of the Active Appearance Model. Unlike most of the other appearance-based methods in the literature, our method allows for both partial and self occlusion of the objects. We use ground-truth to demonstrate the accuracy of our tracking algorithm. We show that our method can be applied to track moving objects over wide variations in position and orientation of the object - one meter in translation and 140 degrees in rotation - with an accuracy of a few millimeters.