Automatic Bootstrapping and Tracking of Object Contours
暂无分享,去创建一个
[1] Bruno Lameyre,et al. SAP: A robust approach to track objects in video streams with Snakes And Points , 2004, BMVC.
[2] Robert L. Stevenson,et al. Studentized Dynamical System for Robust Object Tracking , 2011, IEEE Transactions on Image Processing.
[3] Olivier D. Faugeras,et al. Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[4] Michael J. Black,et al. Learning the Statistics of People in Images and Video , 2003, International Journal of Computer Vision.
[5] W. Eric L. Grimson,et al. A shape-based approach to the segmentation of medical imagery using level sets , 2003, IEEE Transactions on Medical Imaging.
[6] Xianghua Xie,et al. On-line Learning of Shape Information for Object Segmentation and Tracking , 2009, BMVC.
[7] Brendan McCane. Snakes and spiders [motion tracking and object segmentation] , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[8] Dan Schonfeld,et al. A complete system for head tracking using motion-based particle filter and randomly perturbed active contour , 2005, IS&T/SPIE Electronic Imaging.
[9] Michael J. Black,et al. A Framework for Robust Subspace Learning , 2003, International Journal of Computer Vision.
[10] Donald B. Rubin,et al. Max-imum Likelihood from Incomplete Data , 1972 .
[11] Yogesh Rathi,et al. A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Michael Isard,et al. Learning to track curves in motion , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.
[13] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[14] Thomas S. Huang,et al. Online updating appearance generative mixture model for meanshift tracking , 2006, Machine Vision and Applications.
[15] Xin Li,et al. Contour-based object tracking with occlusion handling in video acquired using mobile cameras , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Timothy F. Cootes,et al. Trainable method of parametric shape description , 1992, Image Vis. Comput..
[17] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[18] Brendan McCane. Snakes and Spiders , 2000, ICPR.
[19] Daniel Cremers,et al. Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation , 2006, International Journal of Computer Vision.
[20] David G. Kirkpatrick,et al. On the shape of a set of points in the plane , 1983, IEEE Trans. Inf. Theory.
[21] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[22] V. Hlavác,et al. Detection and Tracking of Humans in Single View Sequences Using 2 D Articulated Model , 2007 .
[23] Stephen M. Smith,et al. ASSET-2: Real-Time Motion Segmentation and Shape Tracking , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Michal Irani,et al. Detecting and Tracking Multiple Moving Objects Using Temporal Integration , 1992, ECCV.
[25] Daniel Cremers,et al. Dynamical statistical shape priors for level set-based tracking , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] J.-Y. Bouguet,et al. Pyramidal implementation of the lucas kanade feature tracker , 1999 .
[27] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[28] Markus Huff,et al. Conflicting motion information impairs multiple object tracking. , 2010, Journal of vision.
[29] Xianghua Xie,et al. Generic Motion based Object Segmentation for Assisted Navigation , 2009, VISAPP.
[30] Stefano Soatto,et al. Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images , 2003, International Journal of Computer Vision.
[31] Danijel Skocaj,et al. Weighted and robust incremental method for subspace learning , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[32] Nikos Paragios,et al. On the Representation of Shapes Using Implicit Functions , 2006, Statistics and Analysis of Shapes.
[33] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[34] Joanna Isabelle Olszewska,et al. Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model , 2007, Electronic Imaging.
[35] David C. Hogg,et al. An efficient method for contour tracking using active shape models , 1994, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects.
[36] Dan Schonfeld,et al. Visual Tracking Using High-Order Particle Filtering , 2011, IEEE Signal Processing Letters.
[37] Luc Van Gool,et al. Object Tracking with an Adaptive Color-Based Particle Filter , 2002, DAGM-Symposium.
[38] Rachid Deriche,et al. A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking , 2009, Image Vis. Comput..
[39] Timothy F. Cootes,et al. A Trainable Method of Parametric Shape Description , 1991, BMVC.
[40] Quan Pan,et al. Real-time multiple objects tracking with occlusion handling in dynamic scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[41] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[42] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[43] Gjlles Aubert,et al. Mathematical problems in image processing , 2001 .