Object Tracking Based on Extended SURF and Particle Filter

Under complex environment, it is difficult to track target successfully by single feature. To solve this problem, the paper propose a novel object tracking approach which fuses color and SURF(Speeded Up Robust Features) in the frame of particle filter. SURF remain invariant for illumination, scale and affine. Add color to make up for the shortcoming(SURF is based on image gray scale information.). It not only maintains the characteristics of SURF, but also makes use of the image color information. The experimental results prove that the proposed method is real-time and robust in different scenes.

[1]  Hong Wang,et al.  Bacterial Colony Optimization , 2012 .

[2]  Ben Niu,et al.  Bacterial foraging based approaches to portfolio optimization with liquidity risk , 2012, Neurocomputing.

[3]  Horst Bischof,et al.  Fast Approximated SIFT , 2006, ACCV.

[4]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[5]  Tian Rui-juan,et al.  SURF Algorithm and Its Detection Effect on Object Tracking , 2011 .

[6]  Luc Van Gool,et al.  Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..

[7]  曾峦 Zeng Luan,et al.  Improved algorithm for SIFT feature extraction and matching , 2011 .

[8]  Dong Hui,et al.  Research of image matching algorithm based on SURF features , 2012, 2012 International Conference on Computer Science and Information Processing (CSIP).

[9]  David G. Lowe,et al.  Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration , 2009, VISAPP.

[10]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[12]  Tao Wang,et al.  Face detection using SURF cascade , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[13]  Yang Jing-yu.  A New Robust Object Tracking Algorithm by Fusing Multi-features , 2009 .

[14]  Shree K. Nayar,et al.  Computer Vision - ACCV 2006, 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006, Proceedings, Part I , 2006, ACCV.