Occlusions and active appearance models

The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper, we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active contour, incorporating shape history into the tracker. The second approach combines AAMs and the particle filter, consequently employing both shape and texture history into the tracker. For each approach, a simple occlusion detection method is suggested, enabling us to address occlusion.

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

[2]  McElory Hoffmann,et al.  On visual object tracking using active appearance models , 2007 .

[3]  Timothy F. Cootes,et al.  Extraction of Visual Features for Lipreading , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[5]  Ralph Gross,et al.  Active appearance models with occlusion , 2006, Image Vis. Comput..

[6]  KimDaijin,et al.  A background robust active appearance model using active contour technique , 2007 .

[7]  John MacCormick.  Stochastic algorithms for visual tracking: probabilistic modelling and stochastic algorithms for visual localisation and tracking , 2000 .

[8]  Mikkel B. Stegmann,et al.  Object tracking using active appearance models , 2001 .

[9]  Wolfgang Straßer,et al.  A smart camera approach to real-time tracking , 2005, 2005 13th European Signal Processing Conference.

[10]  Bjarne K. Ersbøll,et al.  FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.

[11]  Branko Ristic,et al.  Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .

[12]  Michael Isard,et al.  Active Contours , 2000, Springer London.

[13]  Franck Davoine,et al.  Facial action tracking using particle filters and active appearance models , 2005, sOc-EUSAI '05.

[14]  Ching Y. Suen,et al.  Pattern Recognition. The Journal of the Pattern Recognition Society , 1968 .

[15]  Daijin Kim,et al.  A background robust active appearance model using active contour technique , 2007, Pattern Recognit..