Robust visual tracking using structural region hierarchy and graph matching
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Peiyi Shen | Liang Wang | Yi-Zhe Song | Peter M. Hall | Chuan Li | P. Hall | Yi-Zhe Song | Chuan Li | Liang Wang | Peiyi Shen
[1] Ling Shao,et al. Recent advances and trends in visual tracking: A review , 2011, Neurocomputing.
[2] Vladimir Kolmogorov,et al. Feature Correspondence Via Graph Matching: Models and Global Optimization , 2008, ECCV.
[3] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[4] Tieniu Tan,et al. A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[5] Narendra Ahuja,et al. Connected Segmentation Tree — A joint representation of region layout and hierarchy , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Björn Stenger,et al. Model-based hand tracking using a hierarchical Bayesian filter , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Larry S. Davis,et al. Robust Object Trackinng wvith Regional Affine Invariant Features , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[8] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[9] Pablo Andrés Arbeláez,et al. Finding Semantic Structures in Image Hierarchies Using Laplacian Graph Energy , 2010, ECCV.
[10] Jitendra Malik,et al. From contours to regions: An empirical evaluation , 2009, CVPR.
[11] David Suter,et al. Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking , 2006, ECCV.
[12] Hongtao Lu,et al. SURF Tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[13] Natasha Gelfand,et al. SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Haibin Ling,et al. Robust visual tracking using ℓ1 minimization , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[15] C. Radke. International Conference on Computer Design , 2022 .
[16] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] W. Clem Karl,et al. Real-time tracking using level sets , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[18] Ming-Hsuan Yang,et al. Visual tracking with histograms and articulating blocks , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Ian D. Reid,et al. Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors , 2008, ECCV.
[20] Ehud Rivlin,et al. 3D Human Body-Part Tracking and Action Classification Using A Hierarchical Body Model , 2009, BMVC.
[21] Huiyu Zhou,et al. Object tracking using SIFT features and mean shift , 2009, Comput. Vis. Image Underst..
[22] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[23] Horst Bischof,et al. Fast Approximated SIFT , 2006, ACCV.
[24] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[25] Horst Bischof,et al. Efficient Maximally Stable Extremal Region (MSER) Tracking , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[26] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[27] Cordelia Schmid,et al. A Performance Evaluation of Local Descriptors , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Hai Tao,et al. Object tracking with dynamic feature graph , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[29] Jitendra Malik,et al. From contours to regions: An empirical evaluation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[30] I. Gutman,et al. Laplacian energy of a graph , 2006 .
[31] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[32] Robert C. Bolles,et al. Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching , 1977, IJCAI.
[33] Jitendra Malik,et al. Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[34] J. Andrew Bangham,et al. Morphological scale-space preserving transforms in many dimensions , 1996, J. Electronic Imaging.
[35] Frédo Durand,et al. A Topological Approach to Hierarchical Segmentation using Mean Shift , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.