The Visual Object Tracking VOT2015 Challenge Results

The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on shortterm tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website1.

Zhe | Jin | Philip H. S. Torr | Kai | João F. Henriques | Weiming | Rengarajan | Pallavi M. Venugopal | Rafael Martin Nieto | Xue | M. H. Khan | Guna | José M. Martínez | Muhammad Haris Khan | A. Gupta | A. Vedaldi | A. Leonardis | Jiaya Jia | Song-Chun Zhu | Bohyung Han | Longyin Wen | M. Felsberg | Martin Danelljan | R. Bowden | Jiri Matas | Alahari Karteek | H. Bischof | A. Baskurt | Siwei Lyu | Yang Hua | Ming-Hsuan Yang | Christophe Garcia | R. Laganière | S. Duffner | Lee | D. Prokhorov | F. Khan | Jianping Shi | Huchuan Lu | Xue Mei | D. Tao | Luca Bertinetto | Jack Valmadre | F. Porikli | T. Mauthner | Chang Huang | Dalong Du | Ming-Ching Chang | Chaohui Wang | Jianke Zhu | Hongliang Zhang | Qifeng Yu | Bernard Ghanem | Hongdong Li | Michael Arens | Risheng Liu | A. Manzanera | Siyi Li | Zhenyu He | T. Pridmore | J. Lang | Xin Li | M. Valstar | Wen-gang Zhou | Changsheng Xu | S. Hicks | Daijin Kim | Lijun Wang | Houqiang Li | Tianzhu Zhang | Goutam Bhat | O. Miksik | Kris Kitani | Wenbo Li | Wei Zou | Weiming Hu | M. Kristan | Tomás Vojír | R. Pflugfelder | G. Fernandez | G. Nebehay | Luka Cehovin | A. Petrosino | Jin Gao | Junliang Xing | M. Maresca | Dafan Zhang | Zhaoyun Chen | Lei Luo | M. Wen | Chunyuan Zhang | J. Sanchez | Gustav Häger | A. Lukežič | Alireza Memarmoghadam | Álvaro García-Martín | Brais Martínez | Chong Sun | Dawei Du | Deepak Mishra | Erhan Gundogdu | F. Bunyak | Francesco Battistone | Gao Zhu | G. Bastos | G. Seetharaman | H. Qi | Horst Possegger | Hyemin Lee | Hyeonseob Nam | I. Drummond | Jae-chan Jeong | J. Cho | Jae-Y. Lee | Jiayi Feng | Ji-Wan Kim | Jongwon Choi | Junyu Gao | K. Palaniappan | K. Lebeda | Ke Gao | M. Poostchi | Matthias Mueller | Mengdan Zhang | Nana Fan | P. Moallem | P. Senna | Qingming Huang | R. Bowden | Simon Hadfield | S. Becker | S. Golodetz | Sunglok Choi | V. Santopietro | W. Hübner | Xiaomeng Wang | Yang Li | Tianfu Wu | A. Eldesokey | A. Muhic | Antoine Tran | Aydin Alatan | B. Mocanu | Boyu Chen | Erik Velasco-Salido | Guan Huang | Jaeil Cho | J. Noskova | Jingyu Liu | Junfei Zhuang | Kai Chen | Lei Zhang | Lingxiao Yang | Nianhao Xie | Ning Wang | R. Nieto | Ruxandra Tapu | T. Zaharia | Wenbing Tao | Xianguo Yu | Xiao Bian | Yifan Xing | Yingruo Fan | Zhengyu Zhu | Zhipeng Zhang | Zhiqun He | Amir Saffari | Yuezun Li | Zhibin Hong | Tomáš Vojı́r̃ | Adel Bibi | Alan | Lukežič | Alvaro Garcia-Martin | Andrés Solís Montero | Anton | Varfolomieiev | Baojun Zhao | ByeongJu | Cordelia | Schmid | Dafei Huang | Dit-Yan | Yeung | Eraldo Ribeiro | Seetharaman | H. Kieritz | H. Yau | Ivan Bogun | Jiatong Li | Y. Choi | Kimin Yun | Kin | H. Wong | Liang Ma | Lipeng Ke | Mahdieh | Pootschi | Ming Tang | Naiyan | Wang | Q. Wang | Rafael Martin-Nieto | Pelapur | Salma Moujtahid | Sam Hare | Hu | Xinchu Shi | Xuehua Zhao | Yao | Shizeng | Yang Hua | Yang Lu | Zehua Huang | Zhe Chen | Zhe Zhang | Siwei Lyu | Yang Li | Dit-Yan | Zhenyu He | Lee | Zhe Zhang | Song Zhu | J. Lang | Chen | Zhe | Hu | Xiaomeng Wang | Mingxi Tang | O. Mikšík | Yao | Qiang Wang | G. R. S. Subrahmanyam | J. Jia | Jin | L. Č. Zajc | Yangchun Lu | Rafael Martín-Nieto | Mr Chang | Lukežič | Anton | Varfolomieiev | ByeongJu | Schmid | Eraldo Ribeiro | Jae-Yeong Lee | Youngjoon Choi | Ji-Wan Kim | Lei Luo | Pootschi | Wang | Pelapur | S. Choi | Tianfu Wu | Abdelrahman Eldesokey | Mahdieh Poostchi | Yifan Xing

[1]  Richard C. Atkinson,et al.  Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.

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

[3]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Dariu Gavrila,et al.  The Visual Analysis of Human Movement: A Survey , 1999, Comput. Vis. Image Underst..

[5]  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).

[6]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[7]  Dorin Comaniciu,et al.  Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Jacques Verly,et al.  The State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences , 2003 .

[9]  M. Kristan,et al.  Entropy Based Measure of Camera Focus , 2004 .

[10]  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).

[11]  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.

[12]  Horst Bischof,et al.  Real-Time Tracking via On-line Boosting , 2006, BMVC.

[13]  Adrian Hilton,et al.  A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..

[14]  M. Shah,et al.  Object tracking: A survey , 2006, CSUR.

[15]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.

[16]  Ming-Hsuan Yang,et al.  Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.

[17]  Delbert Dueck,et al.  Clustering by Passing Messages Between Data Points , 2007, Science.

[18]  Jing Zhang,et al.  Framework for Performance Evaluation of Face, Text, and Vehicle Detection and Tracking in Video: Data, Metrics, and Protocol , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Bruce A. Draper,et al.  Visual object tracking using adaptive correlation filters , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[20]  Jiri Matas,et al.  Forward-Backward Error: Automatic Detection of Tracking Failures , 2010, 2010 20th International Conference on Pattern Recognition.

[21]  Pietro Perona,et al.  The Fastest Pedestrian Detector in the West , 2010, BMVC.

[22]  Guna Seetharaman,et al.  Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video , 2010, 2010 13th International Conference on Information Fusion.

[23]  Matej Kristan Multivariate Online Kernel Density Estimation , 2010 .

[24]  Ming-Hsuan Yang,et al.  Robust Object Tracking with Online Multiple Instance Learning , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[25]  Marc Van Droogenbroeck,et al.  ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.

[26]  Shuicheng Yan,et al.  Dense Neighborhoods on Affinity Graph , 2011, International Journal of Computer Vision.

[27]  Horst Bischof,et al.  Hough-based tracking of non-rigid objects , 2011, 2011 International Conference on Computer Vision.

[28]  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.

[29]  Jiri Matas,et al.  Robustifying the Flock of Trackers , 2011 .

[30]  Jiri Matas,et al.  Tracking the Untrackable: How to Track When Your Object Is Featureless , 2012, ACCV Workshops.

[31]  Guna Seetharaman,et al.  Robust Orientation and Appearance Adaptation for Wide-Area Large Format Video Object Tracking , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

[32]  Fatih Murat Porikli,et al.  Changedetection.net: A new change detection benchmark dataset , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[33]  Haibin Ling,et al.  Real time robust L1 tracker using accelerated proximal gradient approach , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[34]  Lei Zhang,et al.  Real-Time Compressive Tracking , 2012, ECCV.

[35]  Guna Seetharaman,et al.  Persistent target tracking using likelihood fusion in wide-area and full motion video sequences , 2012, 2012 15th International Conference on Information Fusion.

[36]  Zhongfei Zhang,et al.  A survey of appearance models in visual object tracking , 2013, ACM Trans. Intell. Syst. Technol..

[37]  Fernando De la Torre,et al.  Supervised Descent Method and Its Applications to Face Alignment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[38]  Michael Felsberg,et al.  The Visual Object Tracking VOT2013 Challenge Results , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[39]  Jiri Matas,et al.  Robust scale-adaptive mean-shift for tracking , 2013, Pattern Recognit. Lett..

[40]  Alfredo Petrosino,et al.  MATRIOSKA: A Multi-level Approach to Fast Tracking by Learning , 2013, ICIAP.

[41]  Haibin Ling,et al.  Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms , 2013, 2013 IEEE International Conference on Computer Vision.

[42]  Jiri Matas,et al.  Long-Term Tracking through Failure Cases , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[43]  Michael Felsberg,et al.  Enhanced Distribution Field Tracking Using Channel Representations , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[44]  Yi Wu,et al.  Online Object Tracking: A Benchmark , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[45]  Ales Leonardis,et al.  Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[46]  Dit-Yan Yeung,et al.  Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data , 2014, ICML.

[47]  Jianke Zhu,et al.  A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.

[48]  Andrew Zisserman,et al.  Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.

[49]  Michael Felsberg,et al.  Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.

[50]  Jiri Matas,et al.  The Enhanced Flock of Trackers , 2014, Registration and Recognition in Images and Videos.

[51]  Ales Leonardis,et al.  Is my new tracker really better than yours? , 2014, IEEE Winter Conference on Applications of Computer Vision.

[52]  Jiri Matas,et al.  The VOT2013 challenge: overview and additional results , 2014 .

[53]  David Zhang,et al.  Fast Visual Tracking via Dense Spatio-temporal Context Learning , 2014, ECCV.

[54]  Jin Gao,et al.  Transfer Learning Based Visual Tracking with Gaussian Processes Regression , 2014, ECCV.

[55]  Alfredo Petrosino,et al.  Clustering Local Motion Estimates for Robust and Efficient Object Tracking , 2014, ECCV Workshops.

[56]  C. Lawrence Zitnick,et al.  Edge Boxes: Locating Object Proposals from Edges , 2014, ECCV.

[57]  Stan Sclaroff,et al.  MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization , 2014, ECCV.

[58]  Stefanos Zafeiriou,et al.  Incremental Face Alignment in the Wild , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[59]  Tony P. Pridmore,et al.  MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation , 2014, ACCV.

[60]  Simone Calderara,et al.  Visual Tracking: An Experimental Survey , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[61]  Michael Felsberg,et al.  Adaptive Color Attributes for Real-Time Visual Tracking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[62]  Hongdong Li,et al.  Tracking Randomly Moving Objects on Edge Box Proposals , 2015, ArXiv.

[63]  Michael Felsberg,et al.  Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[64]  Atilla Baskurt,et al.  Classifying Global Scene Context for On-line Multiple Tracker Selection , 2015, BMVC.

[65]  Thomas Mauthner,et al.  In defense of color-based model-free tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[66]  Rui Caseiro,et al.  High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[67]  Zhenyu He,et al.  The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results , 2016, ECCV Workshops.

[68]  Ming-Hsuan Yang,et al.  Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[69]  Dit-Yan Yeung,et al.  Understanding and Diagnosing Visual Tracking Systems , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[70]  Tony P. Pridmore,et al.  TRIC-track: Tracking by Regression with Incrementally Learned Cascades , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[71]  Philip H. S. Torr,et al.  The Importance of Estimating Object Extent when Tracking with Correlation Filters , 2015 .

[72]  Ming Tang,et al.  Multi-kernel Correlation Filter for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[73]  Abhinav Gupta,et al.  Transferring Rich Feature Hierarchies for Robust Visual Tracking , 2015, ArXiv.

[74]  Zhe Chen,et al.  MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[75]  Cordelia Schmid,et al.  Online Object Tracking with Proposal Selection , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[76]  Jiri Matas,et al.  A Novel Performance Evaluation Methodology for Single-Target Trackers , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[77]  Bohyung Han,et al.  Learning Multi-domain Convolutional Neural Networks for Visual Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[78]  Vibhav Vineet,et al.  Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[79]  Ales Leonardis,et al.  Visual Object Tracking Performance Measures Revisited , 2015, IEEE Transactions on Image Processing.

[80]  Jiri Matas,et al.  Online adaptive hidden Markov model for multi-tracker fusion , 2015, Comput. Vis. Image Underst..

[81]  Stefan Duffner,et al.  Using Discriminative Motion Context for Online Visual Object Tracking , 2016, IEEE Transactions on Circuits and Systems for Video Technology.

[82]  Shuicheng Yan,et al.  NUS-PRO: A New Visual Tracking Challenge , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[83]  Rustam,et al.  The Visual Object Tracking VOT 2013 challenge results , 2018 .