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

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.

[1]  C. Pokorney Computer Graphics: An Object Oriented Approach To The Art And Science , 1994 .

[2]  Gang Hua,et al.  Tracking appearances with occlusions , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[3]  Jing Xiao,et al.  Real-time combined 2D+3D active appearance models , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[4]  Harpreet S. Sawhney,et al.  Compact Representations of Videos Through Dominant and Multiple Motion Estimation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Hans-Hellmut Nagel,et al.  Model-based object tracking in monocular image sequences of road traffic scenes , 1993, International Journal of Computer 11263on.

[6]  Jörgen Ahlberg Using the active appearance algorithm for face and facial feature tracking , 2001, Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems.

[7]  Simon Baker,et al.  Lucas-Kanade 20 Years On: A Unifying Framework , 2004, International Journal of Computer Vision.

[8]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[9]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Shaogang Gong,et al.  A generic face appearance model of shape and texture under very large pose variations from profile to profile views , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[11]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Donald B. Gennery,et al.  Visual tracking of known three-dimensional objects , 1992, International Journal of Computer Vision.

[13]  Timothy F. Cootes,et al.  Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Avinash C. Kak,et al.  Calculating the 3d-pose of rigid-objects using active appearance models , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[15]  Ralph Gross,et al.  Constructing and Fitting Active Appearance Models With Occlusion , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[16]  Timothy F. Cootes,et al.  View-based active appearance models , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).