Online Object Tracking: A Benchmark

Histograms of Oriented Gradients for Human Detection

Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584

Robust Real-Time Face Detection

Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097

Untitled work

(1981) · Cited by 11,963

Object tracking

Yılmaz, A., Javed, O., & Shah, M. A. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,902

CONDENSATION—Conditional Density Propagation for Visual Tracking

Isard, M., & Blake, A. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008078328650 · Cited by 4,886

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560

The FERET evaluation methodology for face-recognition algorithms

Phillips, P. J., Moon, H., Rizvi, S. A., & Rauss, P. J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.879790 · Cited by 3,692

Lucas-Kanade 20 Years On: A Unifying Framework

Baker, S., & Matthews, I. A. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000011205.11775.fd · Cited by 3,159

Incremental Learning for Robust Visual Tracking

Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061

Learning to detect natural image boundaries using local brightness, color, and texture cues

Martin, D. R., Fowlkes, C. C., & Malik, J. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.1273918 · Cited by 2,457

Multi-level context-adaptive correlation tracking

Liu, P., Liu, C., Zhao, W., & Tang, X. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.10.013 · Cited by 20

Deep Spatial and Temporal Network for Robust Visual Object Tracking

Zhu, T., Xing, J., Wang, Q., Zhang, B., & Jianping Fan, B. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2942502 · Cited by 21

Robust Visual Tracking with Double Bounding Box Model

Kwon, J., Roh, J., Lee, K. M., & Gool, L. V. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10590-1_25 · Cited by 20

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

Luo, Y., Shen, H., Cao, X. G., Wang, T., Feng, Q., & Tan, Z. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-06984-1 · Cited by 19

CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds

Guo, Z., Mao, Y., Zhou, W., Wang, M., & Li, H. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20047-2_6 · Cited by 22

Attention-Driven Memory Network for Online Visual Tracking

Zhang, H., Liang, J., Zhang, J., Zhang, T., Lin, Y., & Wang, Y. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3299412 · Cited by 20

UAV-Ground Visual Tracking: A Unified Dataset and Collaborative Learning Approach

Sun, D., Cheng, L., Chen, S., Li, C., Xiao, Y., & Luo, B. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3316990 · Cited by 20

Improved object tracking via joint color-LPQ texture histogram based mean shift algorithm

Medouakh, S., Boumehraz, M., & Terki, N. (2017) · Signal Image and Video Processing · doi:10.1007/s11760-017-1196-2 · Cited by 20

Long Term Safety Area Tracking (LT-SAT) with online failure detection and recovery for robotic minimally invasive surgery

Penza, V., Du, X., Stoyanov, D. V., Forgione, A., Mattos, L. S., & Momi, E. D. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.12.010 · Cited by 20

Augmenting cascaded correlation filters with spatial–temporal saliency for visual tracking

Zhao, D., Xiao, L., Fu, H., Wu, T., Xu, X., & Dai, B. (2018) · Information Sciences · doi:10.1016/j.ins.2018.08.053 · Cited by 20

Correlation Filter Based Moving Object Tracking With Scale Adaptation and Online Re-Detection

Islam, M. M., Hu, G., Liu, Q., Wang, D., & Lyu, C. (2018) · IEEE Access · doi:10.1109/access.2018.2883650 · Cited by 20

Aircraft tracking based on fully conventional network and Kalman filter

Yang, J., Zhao, W., Han, Y., Ji, C., Jiang, B., Zheng, Z., & Song, H. H. (2019) · IET Image Processing · doi:10.1049/iet-ipr.2018.5022 · Cited by 20

Correlation Filter Tracking via Distractor-Aware Learning and Multi-Anchor Detection

Chen, G., Pan, G., Zhou, Y., Kang, W., Hou, J., & Deng, F. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2019.2961999 · Cited by 20

Real-time visual tracking via multi-cue based adaptive particle filter framework

Kumar, A., Walia, G. S., & Sharma, K. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08655-6 · Cited by 20

Real-time detection tracking and recognition algorithm based on multi-target faces

Li, J., Wang, Y., Fang, G., & Zeng, Z. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09601-2 · Cited by 20

Asymmetric discriminative correlation filters for visual tracking

Li, S., Jiang, Q.-B., Zhao, Q., Lu, L. P., & Feng, Z. (2020) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.1900507 · Cited by 18

An Intelligent Auto-Organizing Aerial Robotic Sensor Network System for Urban Surveillance

Leong, W. L., Martinel, N., Huang, S., Micheloni, C., Foresti, G. L., & Teo, R. (2021) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-021-01398-y · Cited by 20

Non-negative Subspace Representation Learning Scheme for Correlation Filter Based Tracking

Xu, T., Wu, X., & Kittler, J. (2018) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2018.8546146 · Cited by 21

Robust Visual Tracking via Convolutional NetworksPreprint

Zhang, K., Liu, Q., Wu, Y., & Yang, M. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1501.04505 · Cited by 20

An anti-occlusion vision-based method for structural motion estimation

Hou, J., Zhang, Y., Lu, X., Cai, E., Wei, K., Luo, M., Guo, J. H., Ma, Z., Hoon Sohn, A., & Guo, T. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.112003 · Cited by 19

Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution

Zou, Y., Chen, Z., Zhang, Z. Y., Li, X., Ma, L., Liu, J., Wang, P., & zhang, Y. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02668-0 · Cited by 21

Visual tracking via shallow and deep collaborative model

Zhuang, B., Wang, L., & Lu, H. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.08.070 · Cited by 18

Fast and Robust Object Tracking with Adaptive Detection

Bharati, S. P., Nandi, S., Wu, Y., Sui, Y., & Wang, G. (2016) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2016.0112 · Cited by 19

Correlation-Based Tracker-Level Fusion for Robust Visual Tracking

Rapuru, M. K., Kakanuru, S., Venugopal, P. M., Mishra, D., & Gorthi, R. K. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2699791 · Cited by 18

Stem cell motion-tracking by using deep neural networks with multi-output

Wang, Y., Mao, H., & Zhang, Y. (2017) · Neural Computing and Applications · doi:10.1007/s00521-017-3291-2 · Cited by 21

Object tracking based on Huber loss function

Wang, Y., Hu, S., & Wu, S. (2018) · The Visual Computer · doi:10.1007/s00371-018-1563-1 · Cited by 18

Depth and thermal information fusion for head tracking using particle filter in a fall detection context

Halima, I., Laferté, J.-M., Cormier, G., Fougères, A.-J., & Dillenseger, J. (2020) · Integrated Computer-Aided Engineering · doi:10.3233/ica-190615 · Cited by 19

Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera

Wang, Z., Li, M., Lu, Y. D., Bao, Y., Li, Z., & Zhao, J. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114992 · Cited by 19

Learning Saliency-Aware Correlation Filters for Visual Tracking

Wang, Y., Wang, F., Wang, C., Sun, F., & He, J. (2021) · The Computer Journal · doi:10.1093/comjnl/bxab026 · Cited by 19

The multi-level classification and regression network for visual tracking via residual channel attention

Yu, J., Zuo, M., Dong, L., Zhang, H., & He, X. (2021) · Digital Signal Processing · doi:10.1016/j.dsp.2021.103269 · Cited by 19

Target localization based on cross-view matching between UAV and satellite

Ren, K., Ding, L., Wan, M., Gu, G., & Chen, Q. (2022) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2022.04.002 · Cited by 19

Alpine Skiing Tracking Method Based on Deep Learning and Correlation Filter

Qi, J., Li, D., Zhang, C., & Wang, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3166949 · Cited by 19

EVtracker: An Event-Driven Spatiotemporal Method for Dynamic Object Tracking

Zhang, S., Wang, W., Li, H., & Zhang, S. (2022) · Sensors · doi:10.3390/s22166090 · Cited by 20

Visual object tracking via non-local correlation attention learning

Gao, L., Liu, P., Ning, J., & Li, Y. (2022) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.109666 · Cited by 20

Learning Channel-Aware Correlation Filters for Robust Object Tracking

Nai, K., Li, Z., & Wang, H. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3186276 · Cited by 19

Small Target Recognition and Tracking Based on UAV Platform

Tian, X., Jia, Y., Luo, X., & Yin, J. (2022) · Sensors · doi:10.3390/s22176579 · Cited by 21

Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds

Gao, J., Yan, X., Zhao, W., Lyu, Z., Liao, Y., & Zheng, C. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3233562 · Cited by 20

SiamSTC: Updatable Siamese tracking network via Spatio-Temporal Context

Wei, B., Chen, H., Ding, Q., & Luo, H. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110286 · Cited by 20

A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems

Ramalingam, M., Selvi, G. C., Victor, N., Chengoden, R., Bhattacharya, S., Maddikunta, P. K. R., Lee, D., Piran, M. J., Khare, N., Yenduri, G., et al. (2023) · IEEE Access · doi:10.1109/access.2023.3319089 · Cited by 25

Searching Region-Free and Template-Free Siamese Network for Tracking Drones in TIR Videos

Huang, B., Dou, Z., Chen, J., Li, J., Shen, N., Wang, Y., & Xu, T. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3341331 · Cited by 20

Feature Block-Aware Correlation Filters for Real-Time UAV Tracking

Zhang, H., Li, Y., Liu, H., Yuan, D., & Yang, Y. F. (2024) · IEEE Signal Processing Letters · doi:10.1109/lsp.2024.3373528 · Cited by 19

Spiking SiamFC++: deep spiking neural network for object tracking

Xiang, S., Zhang, T., Jiang, S., Han, Y., Zhang, Y., Guo, X., Yu, L., Shi, Y., & Hao, Y. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-09525-8 · Cited by 19

A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems

Danelljan, M., Khan, F. S., Felsberg, M., Granström, K., Heintz, F., Rudol, P., Wzorek, M., Kvarnström, J., & Doherty, P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16178-5_15 · Cited by 19

Texture-Independent Long-Term Tracking Using Virtual Corners

Lebeda, K., Hadfield, S., Matas, J., & Bowden, R. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2497141 · Cited by 19

Adaptive Appearance Modeling with Point-to-Set Metric Learning for Visual Tracking

Wang, J., Wang, Y., & Wang, H. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2556438 · Cited by 19

Discriminative Reverse Sparse Tracking via Weighted Multitask Learning

Yang, Y., Hu, W., Zhang, W., Zhang, T., & Xie, Y. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2513699 · Cited by 19

Fast, Deep Detection and Tracking of Birds and Nests

Wang, Q., Rasmussen, C. E., & Song, C. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50835-1_14 · Cited by 19

Tracking With Static and Dynamic Structured Correlation Filters

Wang, S., Wang, D., & Lu, H. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2714429 · Cited by 19

Visual object tracking based on adaptive Siamese and motion estimation network

Kashiani, H., & Shokouhi, S. B. (2019) · Image and Vision Computing · doi:10.1016/j.imavis.2019.02.003 · Cited by 19

Toward Occlusion Handling in Visual Tracking via Probabilistic Finite State Machines

Liu, C., Huynh, D. Q., & Reynolds, M. A. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2884007 · Cited by 19

Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning

Gao, J. G., Wang, Q., Xing, J., Ling, H., Hu, W., & Maybank, S. J. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2889070 · Cited by 19

3D Multiview Basketball Players Detection and Localization Based on Probabilistic Occupancy

Yang, Y., Xu, M. G., Wu, W., Zhang, R., & Peng, Y. (2018) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta.2018.8615798 · Cited by 19

Real-time object tracking based on an adaptive transition model and extended Kalman filter to handle full occlusion

Zolfaghari, M., Ghanei-Yakhdan, H., & Yazdi, M. (2019) · The Visual Computer · doi:10.1007/s00371-019-01652-3 · Cited by 19

Intelligent visual object tracking with particle filter based on Modified Grey Wolf Optimizer

Narayana, M., Nenavath, H., Chavan, S., & Rao, L. K. (2019) · Optik · doi:10.1016/j.ijleo.2019.06.013 · Cited by 19

Target-Specific Siamese Attention Network for Real-Time Object Tracking

Thanikasalam, K., Fookes, C., Sridharan, S., Ramanan, A., & Pinidiyaarachchi, A. J. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2935871 · Cited by 19

FAST: Fast and Accurate Scale Estimation for Tracking

Ma, H., Lin, Z., & Acton, S. T. (2019) · IEEE Signal Processing Letters · doi:10.1109/lsp.2019.2963147 · Cited by 19

Fast Visual Object Tracking using Ellipse Fitting for Rotated Bounding Boxes

Chen, B. X., & Tsotsos, J. K. (2019) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2019.00281 · Cited by 19

Learning a Dynamic Feature Fusion Tracker for Object Tracking

Li, Z., Nai, K., Li, G., & Jiang, S. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3027521 · Cited by 19

Evaluating Temporal Queries Over Video Feeds

Chen, Y., Yu, X., Koudas, N., & Yu, Z. (2021) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3448016.3452803 · Cited by 19

Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking

Xie, F., Yang, W., Zhang, K., Liu, B., Wang, G., & Zuo, W. (2021) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw54120.2021.00302 · Cited by 19

SiamOAN: Siamese object-aware network for real-time target tracking

Wei, B., Chen, H., Ding, Q., & Luo, H. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.10.112 · Cited by 19

An Effective Video Synopsis Approach with Seam Carving

Li, K., Yan, B., Wang, W., & Gharavi, H. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2496558 · Cited by 19

Object Tracking via Temporal Consistency Dictionary Learning

Cheng, X., Zhang, Y., Cui, J., & Zhou, L. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2618749 · Cited by 18

Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model

Xue, X., Li, Y., & Shen, Q. (2018) · Sensors · doi:10.3390/s18092751 · Cited by 19

An In-Depth Analysis of Visual Tracking with Siamese Neural NetworksPreprint

Pflugfelder, R. P. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1707.00569 · Cited by 29

Multi-hierarchical Independent Correlation Filters for Visual TrackingPreprint

Bai, S., He, Z., Xu, T.-B., Zhu, Z. D., Dong, Y., & Bai, H. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1811.10302 · Cited by 19

Robust and real-time deep tracking via multi-scale domain adaptation

Wang, X., Li, H., Li, Y., Shen, F., & Porikli, F. (2017) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2017.8019450 · Cited by 18

Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking

Javed, S., Mahmood, A., Dias, J. M. M., Seneviratne, L. D., & Werghi, N. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3086194 · Cited by 18

RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking

Chen, Y., Tang, Y., Han, T., Zhang, Y., Zou, B., & Feng, H. (2022) · Remote Sensing · doi:10.3390/rs14133108 · Cited by 18

Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics?

Näsi, R., Mikkola, H., Honkavaara, E., Koivumäki, N., de Oliveira, R. A., Peltonen‐Sainio, P., Keijälä, N.-S., Änäkkälä, M., Arkkola, L., & Alakukku, L. (2023) · Agronomy · doi:10.3390/agronomy13030669 · Cited by 18

A robust deep networks based multi-object multi-camera tracking system for city scale traffic

Zaman, M. I., Bajwa, U. I., Saleem, G., & Raza, R. H. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16243-7 · Cited by 19

Learning a Novel Ensemble Tracker for Robust Visual Tracking

Nai, K., & Chen, S. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3307939 · Cited by 20

Transformer-Based Automated Segmentation of the Median Nerve in Ultrasound Videos of Wrist-to-Elbow Region

Gujarati, K. R., Bathala, L., Venkatesh, V., Mathew, R. S., & Yalavarthy, P. K. (2023) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2023.3330539 · Cited by 18

Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection

Ji, Z., Feng, K., Qian, Y., & Liang, J. (2023) · Information Sciences · doi:10.1016/j.ins.2023.120013 · Cited by 18

Knowledge Synergy Learning for Multi-Modal Tracking

He, Y., Ma, Z., Wei, X., & Gong, Y. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3352573 · Cited by 19

Refocus the Attention for Parameter-Efficient Thermal Infrared Object Tracking

Lai, S., Liu, C. X., Wang, D., & Lu, H. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2024.3420928 · Cited by 19

Weighted Part Context Learning for Visual Tracking

Zhu, G., Wang, J., Zhao, C., & Lu, H. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2479460 · Cited by 18

Visual Tracking Based on Extreme Learning Machine and Sparse Representation

Wang, B., Tang, L., Yang, J., Zhao, B., & Wang, S. (2015) · Sensors · doi:10.3390/s151026877 · Cited by 18

Robust multi-scale ship tracking via multiple compressed features fusion

Teng, F., & Liu, Q. (2014) · Signal Processing Image Communication · doi:10.1016/j.image.2014.12.006 · Cited by 18

TraX: The visual Tracking eXchange protocol and library

Zajc, L. Č. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.036 · Cited by 18

Evaluation of Visual Tracking Algorithms for Embedded Devices

Lehtola, V., Huttunen, H. J., Christophe, F., & Mikkonen, T. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59126-1_8 · Cited by 18

Learning spatially correlation filters based on convolutional features via PSO algorithm and two combined color spaces for visual tracking

Touil, D. E., Terki, N., & Medouakh, S. (2017) · Applied Intelligence · doi:10.1007/s10489-017-1120-z · Cited by 18

Robust and Long-Term Object Tracking With an Application to Vehicles

Zheng, F., Shao, L., & Han, J. (2018) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2749981 · Cited by 18

Deep Convolutional Particle Filter with Adaptive Correlation Maps for Visual Tracking

Mozhdehi, R. J., Reznichenko, Y., Siddique, A., & Medeiros, H. P. (2018) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2018.8451069 · Cited by 18

A Stochastic Attribute Grammar for Robust Cross-View Human Tracking

Liu, X., Xu, Y., Zhu, L., & Mu, Y. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2781738 · Cited by 18

AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking.

Zhong, F., Sun, P., Luo, W., Yan, T., & Wang, Y. (2018) · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · Cited by 18

SMART: Joint Sampling and Regression for Visual Tracking

Gao, J., Zhang, T., & Xu, C. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2904434 · Cited by 18

One-Shot Scale and Angle Estimation for Fast Visual Object Tracking

Lee, D. (2019) · IEEE Access · doi:10.1109/access.2019.2913390 · Cited by 18

Visual Tracking via Auto-Encoder Pair Correlation Filter

Cheng, X., Zhang, Y., Zhou, L., & Zheng, Y. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2913815 · Cited by 18

Adversarial Feature Sampling Learning for Efficient Visual Tracking

Yin, Y., Xu, D., Wang, X., & Lei Zhang, A. (2019) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2019.2948402 · Cited by 18

Thermal infrared pedestrian tracking via fusion of features in driving assistance system of intelligent vehicles

Ding, M., Zhang, X., Chen, W., Wei, L., & Cao, Y. (2019) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/0954410019890820 · Cited by 18

Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking

Liu, Y., Zhang, L., Chen, Z., Yan, Y., & Wang, H. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3006927 · Cited by 18

Re-identification framework for long term visual object tracking based on object detection and classification

Nousi, P., Triantafyllidou, D., Tefas, A., & Pitas, I. (2020) · Signal Processing Image Communication · doi:10.1016/j.image.2020.115969 · Cited by 18

Thermal infrared pedestrian tracking using joint siamese network and exemplar prediction model

Zheng, L., Zhao, S., Zhang, Y., & Yu, L. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2020.09.022 · Cited by 18

Multi-Task Convolution Operators With Object Detection for Visual Tracking

Zheng, Y., Liu, X., Xiao, B., Cheng, X., Wu, Y., & Chen, S. (2021) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2021.3071128 · Cited by 18

A motion model based on recurrent neural networks for visual object tracking

Shahbazi, M., Bayat, M. H., & Tarvirdizadeh, B. (2022) · Image and Vision Computing · doi:10.1016/j.imavis.2022.104533 · Cited by 19

Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention

Zheng, G., Fu, C., Ye, J., Li, B., Lu, G., & Pan, J. (2022) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9982189 · Cited by 18

The State-of-the-Art in Handling Occlusions for Visual Object Tracking

Meshgi, K., & Ishii, S. (2015) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2014edr0002 · Cited by 18

BoLTVOS: Box-Level Tracking for Video Object SegmentationPreprint

Voigtlaender, P., Luiten, J., & Leibe, B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1904.04552 · Cited by 28

Siamese Adaptive Network-Based Accurate and Robust Visual Object Tracking Algorithm for Quadrupedal Robots

Cao, Z., Li, J., Shao, S., Zhang, D., & Zhou, M. (2025) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2025.3527342 · Cited by 18

Object Tracking Benchmark

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Visual Object Tracking Using Deep Learning Techniques: A Comparison

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Single Object Trackers in OpenCV: A Benchmark

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