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Object Tracking by Adaptive Feature Extraction (2004)  (Make Corrections)  
Bohyung Han, Larry Davis



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Abstract: Tracking objects in the high-dimensional feature space is not only computationally expensive and but also functionally inefficient. Selecting a low-dimensional discriminative feature set is a critical step to improve tracker performance. A good feature set for tracking can differ from frame to frame due to the changes in the background against which the tracked object is viewed, and an on-line algorithm to adaptively determine a distinctive feature set would be advantageous. In this paper,... (Update)

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BibTeX entry:   (Update)

@misc{ han-object,
  author = "Bohyung Han and Larry Davis",
  title = "Object Tracking by Adaptive Feature Extraction",
  url = "citeseer.ist.psu.edu/han04object.html" }
Citations (may not include all citations):
386   Pfinder: Real-time tracking of the human body - Wren, Azarbayejani et al. - 1997
364   Condensation - Conditional density propagation for visual tr.. - Isard, Blake - 1998
325   Color indexing (context) - Swain, Ballard - 1991
129   Real-time tracking of non-rigid objects using mean shift - Comaniciu, Ramesh et al. - 2000
79   Nonlinear component analysis as a kernel eigenvalue problem - olkophand, Smola et al. - 1998
72   Fisher discriminant analysis with kernels - Mika, atsch et al. - 1999
48   Color-based probabilistic tracking (context) - Perez, Hue et al. - 2002
17   Better proposal distributions: Object tracking using unscent.. (context) - Rui, Chen - 2001
17   Kernel-based object tracking - Comaniciu - 2003
12   line selection of discriminative tracking features - Collins, Liu - 2003
11   Finding Waldo, or focus of attention using local color infor.. (context) - Ennesser, Medioni - 1995
4   Adaptive color space switching for face tracking in multi-co.. (context) - Stern, Efros - 2002
2   Learning patterns of activity using real-time learning (context) - Stauffer, Grimson - 2000

Documents on the same site (http://www.cs.umd.edu/~bhhan/pubs.html):   More
Bayesian Filtering and Integral Image for Visual Tracking - Han, Yang, Duraiswami, Davis (2005)   (Correct)
Incremental Density Approximation and Kernel-Based.. - Han, Comaniciu, Zhu.. (2004)   (Correct)
Kernel-Based Bayesian Filtering for Object Tracking - Han, Zhu, Comaniciu, Davis (2005)   (Correct)

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