Robust Visual Multi Target Trackers: A Review

Pavan Kumar E

Abstract


In this review paper, we address on the state-of-art process with visual object tracking in video surveillance, medical and military applications. In the present scenario number of algorithms and methods are used to track the object in the different scene, a robust visual object tracking remains a critical challenge. The challenges arise due to object motion from frame to frame with a change in appearance, structures, illumination, and occlusion. In this paper, at last, we outline the different algorithms, dataset, strength, and weakness of the different object tracker.


Keywords


Visual tracking, video surveillance, occlusion, illumination,appearance

References


HanxuanYang, Ling Shao,FengZheng LiangWangd, Zhan Song “Recent advances and trends in visual tracking: A review"Neurocomputing 74 (2011) 3823–3831, reprint in 10 june 2015.

WenhanLuo ,Junliang Xing2 • Xiaoqin Zhang3 • Xiaowei Zhao1 • Tae-KyunKim1 “Multiple Object Tracking: A Literature Review” 21 Sep 2015arXiv:1409.7618v3 [cs.CV] .

Xin Li, Qiao Liu, Zhenyu He,Hongpeng Wang, Chunkai Zhang, Wen-Sheng Chen "A multi-view model for visual tracking via correlation filters”http://dx.doi.org/10.1016/j.knosys.2016.09.014 0950-7051/© 2016 Elsevier.

M. Valera and S.A. Velastin” Intelligent distributed surveillance systems: a review” IEE Proceedings online no. 20041147doi: 10.1049/ip-vis:20041147.

Mengmeng Wang1, Yong Liu2, and Rong Xiong2" Robust Object Tracking with a Hierarchical Ensemble Framework"arXiv:1509.06925v2 [cs.CV] 10 Aug 2016.

Abdurrahman, F., GunawanSugiartaandFeriyonika" implementation of Kalman filter on visual"tracking using PID controller"Mechatronics and Applications: An International Journal (MECHATROJ), Vol. 1, No.1, 2016

AndreasEss, Bastian Leibe, Konrad Schindler, and Luc van Gool "Robust Multi-Person Tracking from a mobile platform"www.computer.org/csdl/trans/tp/2009/10/ttp2009101831-abs.html

Junseok Kwon and Kyoung Mu Lee “Tracking by Sampling Trackers” 2011 IEEE International Conference on Computer Vision978-1-4577-1102-2/11/$26.00 ©2011 IEEE.

Yang HuaKarteekAlahariCordeliaSchmid “Online Object Tracking with Proposal Selection” 1550-5499/15 $31.00 © 2015 IEEE, DOI 10.1109/ICCV.2015.354.

Meijuan Bai1, Xiong Zhang1 “fast compressive tracking based onmulti-feature weighted appearance model” ate of Conference: 21-23 Sept. 2015 Date Added to IEEE Xplore: 07 April 2016 Electronic ISBN: 978-1-78561-035-6 INSPEC Accession Number: 15662760.

Heng Fan, Jinhai Xiang “Robust Visual Tracking with Multitask Joint Dictionary Learning” 1051-8215 (c) 2015 IEEE.DOI10.1109/TCSVT.2016.2515738, IEEETransactions on Circuits and Systems for Video Technology.

Yong Wang*, XinbinLuo†, ShiqiangHu†” visual tracking via robust multi-task multi-feature joint sparse representation" 978-1-4799-9988-0/16/$31.00 ©2016 IEEE ICASSP 2016.

Jianghu Lu1, Di Huang2;_, Yunhong Wang1, and Longteng Kong1 “SCALING AND OCCLUSION ROBUST ATHLETE TRACKING IN SPORTS VIDEOS” 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Year: 2016Pages: 1526 - 1530, DOI: 10.1109/ICASSP.2016.7471932.

A. Nayak; E. Trucco; A. Ahmad; A. M. Wallace “SimBIL: appearance-based simulation of burst-illumination laser sequences” IET Image ProcessingYear: 2008, Volume: 2, Issue: 3Pages: 165 - 174, DOI: 10.1049/iet-ipr:20070207.

David Held, Sebastian Thrun, Silvio Savarese “Learning to Track at 100 FPS with DeepRegression Networks”arXiv:1604.01802v2 [cs.CV] 16 Aug 2016.

SarehShirazi, Conrad Sanderson,Chris McCool, Mehrtash T. Harandi “Bags of Affine Subspaces for Robust Object Tracking” arXiv:1408.2313v3 [cs.CV] 5 Feb 2016.

J unseok Kwon and Kyoung Mu Lee “Visual Tracking Decomposition” 978-1-4244-6985-7/10/$26.00 ©2010 IEEE.

HaoyuRen, Ze-Nian Li “Object Detection Using Generalization and Efficiency BalancedCo-occurrence Features” 2015 IEEE International Conference on Computer Vision (ICCV)Year: 2015 Pages: 46 -54, DOI: 10.1109/ICCV.2015.14.

Junseok Kwon, Kyoung Mu Lee "Adaptive Visual Tracking with MinimumUncertainty Gap Estimation" IEEE transactions on pattern analysis and machine intelligence, VOL. 39, NO. 1, JANUARY 2017.

Zhiyong Li, Song Gao and Kenai, Ying Zeng "Robust Object Tracking Based on Timed MotionHistory Image With Multi-feature Adaptive Fusion" 978-1-5090-4093-3/16/$31.00 ©2016 IEEE ICNC-FSKD.

Xi Chen, Yuan Zhang, Zhaohui Li “Visual Tracking with a Cognitive Observation Model”978-1-4099-5/2016 IEEE.

Yichun Shi1 and Hesheng Wang2 “Visual Tracking via an Ensemble of Random Classifiers” 978-1-4673-8959-4/16/$31.00 © 2016 IEEE June 6-9, 2016, Angkor Wat, Cambodia.

Zhaoyun Chen, Lei Luo, Mei Wen, Chunyuan Zhang “FAST TRACKING VIA CONTEXT DEPTH

MODEL LEARNING” 978-1-4799-8339-1/15/$31.00 ©2015 IEEE ICIP 2015.

RaedAlmomani, Ming Dong and Dongxiao Zhu “A BAYESIAN HIERARCHICAL APPEARANCE MODEL FOR ROBUST OBJECT TRACKING”2016 IEEE International Conference on Multimedia and Expo (ICME)Year: 2016Pages: 1 - 6, DOI: 10.1109/ICME.2016.7552909.

Ding Dongsheng 1, Jiang Zengru 2, Liu Chengyuan3 “Object Tracking Algorithm Based on Particle Filter with Color and Texture Feature” Proceedings of the 35th Chinese Control Conference2016 35th Chinese Control Conference (CCC)Year: 2016 Pages: 4031 - 4036, DOI: 10.1109/ChiCC.2016.7553983.

ZHU Su1,2, BO Yuming1, HE Liang1”Robust Multi-feature Visual Tracking with a Saliency-based Target Descriptor”2016 35th Chinese Control Conference(CCC)Year: 2016Pages: 5008 - 5013, DOI: 10.1109/ChiCC.2016.7554132IEEE Conference Publications.

Jin Yuan, Dong Xu, Heng-Chang Xiong, Zhi-Yong Li "A Novel Object Tracking Algorithm based on enhanced Perception Hash and Online template matching" 978-1-5090-4093-3/16/$31.00 ©2016 IEEE ICNC-FSKD.

Adel Bibi, Tianzhu Zhang, and Bernard Ghanem “3D Part-Based Sparse Tracker with Automatic Synchronization and Registration” 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Year: 2016,Pages: 1439 - 1448, DOI: 10.1109/CVPR.2016.160.

Andreas Ess1 Bastian Leibe1 Konrad Schindler1 Luc Van Gool “A Mobile Vision System for Robust Multi-Person Tracking” 2008 IEEE Conference on Computer Vision and Pattern RecognitionYear: 2008Pages: 1 - 8, DOI: 10.1109/CVPR.2008.4587581.

Shengping Zhang, Member, IEEE, XiangyuanLan, Student Member, IEEE, Hongxun Yao, Member, IEEE, "A Biologically Inspired Appearance Model for Robust Visual Tracking" 2162-237X © 2016 IEEE transactions on neural networks and learning systems.

Kevin Leahy and Mac Schwager "Always Choose Second Best: Tracking a Moving Target on a Graph with noisy Binary Sensor" Proc. of the European Control Conference (ECC 16) JUNE 2016.

Hiroshi Kera, Ryo Yonetani, Keita Higuchi “Discovering Objects of Joint Attention via First-Person Sensing” 978-1-5090-1437-8/16 $31.00 © 2016 IEEE, DOI 10.1109/CVPRW.2016.52, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Yuankai Qi† Shengping Zhang† Lei Qin_ Hongxun Yao† Qingming Huang†,_Jongwoo Lim_ Ming-Hsuan Yang§ “Hedged Deep Tracking” 1063-6919/16 2016 IEEE, DOI 10.1109/CVPR.2016.466.

Li Zhang, Yuan Li and RamakantNevatia “Global Data Association for Multi-Object TrackingUsing Network Flows” 2008 IEEE Conference on Computer Vision and Pattern RecognitionYear: 2008Pages: 1 - 8, DOI: 10.1109/CVPR.2008.4587584.

J´ er ˆomeBerclaz, Franc¸oisFleuret, Engin T¨ retaken, and Pascal Fua, Senior Member, IEEE "Multiple Object Tracking using-Shortest Paths Optimization" EEE Transactions on Pattern Analysis and Machine IntelligenceYear: 2011, Volume: 33, Issue: 9Pages: 1806 - 1819, DOI: 10.1109/TPAMI.2011.21.

Boris Babenko, Ming-Hsuan Yang, Serge Belongie “Visual Tracking with Online Multiple Instance Learning” Boris Babenko; Ming-Hsuan Yang; Serge Belongie2009 IEEE Conference on Computer Vision and PatternRecognitionYear: 2009Pages: 983990, DOI: 10.1109/CVPR.2009.5206737




DOI: http://doi.org/10.11591/ijeecs.v12.i1.pp%25p
Total views : 10 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

shopify stats IJEECS visitor statistics