Robust Non-rigid Object Tracking Using Point Distribution Manifolds
作者： Tom Mathes , Justus H. Piater
DOI: 10.1007/11861898_52
关键词:
摘要: We present an approach to non-rigid object tracking designed handle textured objects in crowded scenes captured by non-static cameras. For this purpose, groups of low-level features are combined into a model describing both the shape and appearance object. This results remarkable robustness severe partial occlusions, since overlapping unlikely be indistinguishable appearance, configuration velocity all at same time. The is learnt incrementally adapts varying illumination conditions target thus applicable any kind Results on real-world sequences demonstrate performance proposed tracker. algorithm implemented with aim achieving near real-time performance.
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Colin Goodall, Procrustes methods in the statistical analysis of shape Journal of the royal statistical society series b-methodological. ,vol. 53, pp. 285- 321 ,(1991) , 10.1111/J.2517-6161.1991.TB01825.X
Sam T. Roweis, Lawrence K. Saul, An Introduction to Locally Linear Embedding ,(2001)
Krystian Mikolajczyk, Cordelia Schmid, An Affine Invariant Interest Point Detector european conference on computer vision. ,vol. 2350, pp. 128- 142 ,(2002) , 10.1007/3-540-47969-4_9
J. J. Koenderink, A. J. van Doorn, Representation of local geometry in the visual system Biological Cybernetics. ,vol. 55, pp. 367- 375 ,(1987) , 10.1007/BF00318371
T. Mathes, J. H. Piater, Robust Non-Rigid Object Tracking Using Point Distribution Models. british machine vision conference. ,(2005) , 10.5244/C.19.89
MD Rogers, TF Cootes, J Graham, CJ Taylor, Structured Point Distribution Models: Modelling Intermittently Present Features british machine vision conference. pp. 1- 10 ,(2001) , 10.5244/C.15.5
P. Tissainayagam, D. Suter, Object tracking in image sequences using point features Pattern Recognition. ,vol. 38, pp. 105- 113 ,(2005) , 10.1016/J.PATCOG.2004.05.011
T.F. Cootes, C.J. Taylor, D.H. Cooper, J. Graham, Active shape models—their training and application Computer Vision and Image Understanding. ,vol. 61, pp. 38- 59 ,(1995) , 10.1006/CVIU.1995.1004
R. Megret, J.-M. Jolion, Tracking scale-space blobs for video description IEEE MultiMedia. ,vol. 9, pp. 34- 43 ,(2002) , 10.1109/93.998053
C. Stauffer, W.E.L. Grimson, Adaptive background mixture models for real-time tracking computer vision and pattern recognition. ,vol. 2, pp. 246- 252 ,(1999) , 10.1109/CVPR.1999.784637