Feature points detection and tracking based on SIFT combining with KLT method

For feature point detection with variable scale, rotation, variable illumination and variable 3D view port, a feature point detection and tracking method combining scale invariant feature transform (SIFT) and KLT (Kanade-Lucas-Tomasi) is proposed in this paper. SIFT feature point detection method is improved and it is used to detect feature points of image, and then KLT method is used to track the feature points continuously. In order to verify the feasibility of the proposed method, simulation experiments are carried out in real scene image sequences with different complexity using this method, better results of detection and tracking are obtained and the obtained feature point is more stable than conventional method.

[1]  Bin Fang,et al.  Sift features based object tracking with discrete wavelet transform , 2009, 2009 International Conference on Wavelet Analysis and Pattern Recognition.

[2]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Matthijs C. Dorst.  Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[4]  Jun Zhang,et al.  Monocular robot navigation using invariant natural features , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[5]  J. Crowley,et al.  Fast Computation of Characteristic Scale Using a Half-Octave Pyramid , 2002 .

[6]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[7]  Lingfu Kong,et al.  Particle filter tracking based on color and SIFT features , 2008, 2008 International Conference on Audio, Language and Image Processing.

[8]  Ming Zhu,et al.  Mean shift tracking combining SIFT , 2008, 2008 9th International Conference on Signal Processing.

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

[10]  Manli Zhou,et al.  Robust vehicle tracking based on Scale Invariant Feature Transform , 2008, 2008 International Conference on Information and Automation.