Wu Y, Yu T, Hua G. Tracking Appearance with Occlusions // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Madison, USA, 2003, Ⅰ: 789-795
[2]
Li P H, Zhang T W, Pece A C E. Visual Contour Tracking Based on Particle Filters. Image and Vision Computing, 2003, 21(1): 111-123
[3]
Wu Y, Hua G, Yu T. Switching Observation Models for Contour Tracking in Clutter // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Madison, USA, 2003, I: 295-302
[4]
Nummiaro K, Koller-Meier E, van Gool L. An Adaptive Color-Based Particle Filter. Image and Vision Computing, 2003, 21(1): 99-110
[5]
Nait-Charif H, McKenna S J. Tracking Poorly Modelled Motion Using Particle Filters with Iterated Likelihood Weighting // Proc of the Asian Conference on Computer Vision. Jeju Island, Korea, 2004: 156-161
[6]
Comaniciu D, Ramesh V, Meer P. Real-Time Tracking of Non-Rigid Objects Using Mean Shift // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head, USA, 2000, Ⅰ: 142-149
[7]
Zivkovic Z, Krse B. An EM-Like Algoithm for Color-Histogram-Based Object Tracking // Proc of the International Conference on Computer Vision and Pattern Recognition. Washington, USA, 2004, Ⅰ: 798-803
[8]
Isard M, Blake A. Contour Tracking by Stochastic Propagation of Conditional Density // Proc of the 3th European Conference on Computer Vision. Cambridge, UK, 1996, Ⅰ: 343-356
[9]
Isard M, Blake A. Icondensation: Unifying Low-Level and High-Level Tracking in a Stochastic Framework // Proc of the 5th European Conference on Computer Vision. Freiburg, Germany, 1998, Ⅰ: 893-908
[10]
Wu Y, Huang T S. A Co-Inference Approach to Robust Visual Tracking // Proc of the 8th IEEE International Conference on Computer Vision. Vancouver, Canada, 2001, Ⅱ: 26-33
[11]
Birchfield S. Elliptical Head Tracking Using Intensity Gradients and Color Histograms // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Santa Borbara, USA, 1998: 232-237