The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results
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Michael Felsberg | Jiri Matas | Gustav Häger | Roman P. Pflugfelder | Ales Leonardis | Matej Kristan | Georg Nebehay | Jörgen Ahlberg | Amanda Berg | Gustavo Fernández | Luka Cehovin | Tomás Vojír
[1] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[2] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[3] José María Martínez Sanchez,et al. Single Object Long-term Tracker for Smart Control of a PTZ camera , 2014, ICDSC.
[4] Deva Ramanan,et al. Self-Paced Learning for Long-Term Tracking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[5] D. Zhang,et al. Robust mean-shift tracking with corrected background-weighted histogram , 2012 .
[6] Yi Wu,et al. Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Michael Felsberg,et al. The Visual Object Tracking VOT2013 Challenge Results , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[8] Hanqing Lu,et al. Collaborative Correlation Tracking , 2015, BMVC.
[9] Bruce A. Draper,et al. Visual object tracking using adaptive correlation filters , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[10] Michael Felsberg,et al. Enhanced Distribution Field Tracking Using Channel Representations , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[11] Shuicheng Yan,et al. Dense Neighborhoods on Affinity Graph , 2011, International Journal of Computer Vision.
[12] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Jae-Yeong Lee,et al. Visual tracking by partition-based histogram backprojection and maximum support criteria , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.
[14] Jiri Matas,et al. Robust scale-adaptive mean-shift for tracking , 2013, Pattern Recognition Letters.
[15] C. Lawrence Zitnick,et al. Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.
[16] Dariu Gavrila,et al. The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..
[17] J.-E. Kallhammer,et al. Near Zone Pedestrian Detection using a Low-Resolution FIR Sensor , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[18] Ming Tang,et al. Multi-kernel Correlation Filter for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[19] Jiri Matas,et al. A Novel Performance Evaluation Methodology for Single-Target Trackers , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Zhongfei Zhang,et al. A survey of appearance models in visual object tracking , 2013, ACM Trans. Intell. Syst. Technol..
[21] Thomas B. Moeslund,et al. Thermal cameras and applications: a survey , 2013, Machine Vision and Applications.
[22] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Nanning Zheng,et al. Constructing Adaptive Complex Cells for Robust Visual Tracking , 2013, 2013 IEEE International Conference on Computer Vision.
[24] Stan Z. Li,et al. Structured Visual Tracking with Dynamic Graph , 2012, ACCV.
[25] Dorin Comaniciu,et al. Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[26] Ales Leonardis,et al. Is my new tracker really better than yours? , 2014, IEEE Winter Conference on Applications of Computer Vision.
[27] Pietro Perona,et al. The Fastest Pedestrian Detector in the West , 2010, BMVC.
[28] Ales Leonardis,et al. Visual Object Tracking Performance Measures Revisited , 2015, IEEE Transactions on Image Processing.
[29] Cordelia Schmid,et al. Online Object Tracking with Proposal Selection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Nuno Vasconcelos,et al. Robust Deformable and Occluded Object Tracking With Dynamic Graph , 2014, IEEE Transactions on Image Processing.
[31] Stan Sclaroff,et al. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization , 2014, ECCV.
[32] Hongdong Li,et al. Tracking Randomly Moving Objects on Edge Box Proposals , 2015, ArXiv.
[33] David Zhang,et al. Fast Visual Tracking via Dense Spatio-temporal Context Learning , 2014, ECCV.
[34] J.M. Ferryman,et al. PETS Metrics: On-Line Performance Evaluation Service , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[35] Michael Felsberg,et al. A thermal Object Tracking benchmark , 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[36] Michael Felsberg,et al. Adaptive Color Attributes for Real-Time Visual Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[38] Jiri Matas,et al. The VOT2013 challenge: overview and additional results , 2014 .
[39] Jiri Matas,et al. The Enhanced Flock of Trackers , 2014, Registration and Recognition in Images and Videos.
[40] Michael Felsberg,et al. The Visual Object Tracking VOT2013 Challenge Results , 2013, ICCV 2013.
[41] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Philip H. S. Torr,et al. Struck: Structured output tracking with kernels , 2011, ICCV.
[43] Michael Felsberg,et al. The Visual Object Tracking VOT2015 Challenge Results , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[44] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Ming-Hsuan Yang,et al. Visual tracking with online Multiple Instance Learning , 2009, CVPR.
[46] Michael Felsberg,et al. Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.
[47] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[48] Jianke Zhu,et al. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.