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

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Untitled work

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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

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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

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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

Tracking of Ball and Players in Beach Volleyball Videos

Gomez, G., López, P. H., Link, D., & Eskofier, B. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111730 · Cited by 31

Robust depth-based object tracking from a moving binocular camera

Cao, L., Wang, C., & Li, J. (2014) · Signal Processing · doi:10.1016/j.sigpro.2014.08.041 · Cited by 28

A survey of datasets for visual tracking

Dubuisson, S., & Gonzales, C. (2015) · Machine Vision and Applications · doi:10.1007/s00138-015-0713-y · Cited by 28

Nonlinear dynamic image-based visual servoing of a quadrotor

Fink, G., Hui, X., Lynch, A. F., & Jägersand, M. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2014-0011 · Cited by 28

Convolutional neural net bagging for online visual tracking

Li, H., Li, Y., & Porikli, F. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2016.07.002 · Cited by 28

Co-difference based object tracking algorithm for infrared videos

Demir, H. S., & Çetin, A. E. (2016) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2016.7532394 · Cited by 28

SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation

Zhang, H., Wang, Y., Luo, L., Lu, X., & Zhang, M. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.04.024 · Cited by 28

Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context

Liu, C., Liu, P., Zhao, W., & Tang, X. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2760633 · Cited by 27

Real-Time Underwater Fish Tracking Based on Adaptive Multi-Appearance Model

Li, X., Wei, Z., Huang, L., Nie, J., Zhang, W., & Wang, L. (2018) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2018.8451469 · Cited by 28

Robust Visual Tracking via Hierarchical Particle Filter and Ensemble Deep Features

Li, S., Zhao, S., Cheng, B. H., Zhao, E., & Chen, J. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2889457 · Cited by 28

Cascaded Correlation Refinement for Robust Deep Tracking

Ge, S., Zhang, C., Li, S., Zeng, D., & Tao, D. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2984256 · Cited by 28

Multi-Hierarchical Independent Correlation Filters For Visual Tracking

Bai, S., He, Z., Dong, Y., & Bai, H. (2020) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme46284.2020.9102759 · Cited by 28

Target Tracking Using a Mean-Shift Occlusion Aware Particle Filter

Bhat, P. G., Subudhi, B. N., Veerakumar, T., Caterina, G. D., & Soraghan, J. J. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3054815 · Cited by 28

Automatic Hyoid Bone Tracking in Real-Time Ultrasound Swallowing Videos Using Deep Learning Based and Correlation Filter Based Trackers

Feng, S., Shea, Q. T. K., Ng, K.-Y., Tang, C.-N., Kwong, E., & Zheng, Y. (2021) · Sensors · doi:10.3390/s21113712 · Cited by 28

An Enhanced SiamMask Network for Coastal Ship Tracking

Yang, X., Wang, Y., Wang, N., & Gao, X. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3122330 · Cited by 30

Robust infrared target tracking based on particle filter with embedded saliency detection

Wang, F., Zhen, Y., Zhong, B., & Ji, R. (2015) · Information Sciences · doi:10.1016/j.ins.2014.12.022 · Cited by 28

High-Speed Target Tracking System Based on a Hierarchical Parallel Vision Processor and Gray-Level LBP Algorithm

Yang, Y., Yang, J., Liu, L., & Wu, N. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2523907 · Cited by 28

Robust Target Tracking by Online Random Forests and Superpixels

Wang, W., Wang, C., Liu, S., Zhang, T., & Cao, X. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2684759 · Cited by 27

High Order Tensor Formulation for Convolutional Sparse Coding

Bibi, A., & Ghanem, B. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.197 · Cited by 28

Beyond Eleven Color Names for Image Understanding

Yu, L., Zhang, L., van de Weijer, J., Khan, F. S., Cheng, Y., & Párraga, C. A. (2017) · Machine Vision and Applications · doi:10.1007/s00138-017-0902-y · Cited by 28

Robust object tracking using a sparse coadjutant observation model

Zhao, J., Zhang, W., & Cao, F. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6132-0 · Cited by 27

Correlation-Embedded Transformer Tracking: A Single-Branch Framework

Xie, F., Yang, W., Wang, C., Chu, L., Cao, Y., Ma, C., & Zeng, W. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3448254 · Cited by 35

Leader tracking for a walking logistics robot

Perďoch, M., Bradley, D. M., Chang, J., Herman, H., Rander, P. W., & Stentz, A. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7353790 · Cited by 27

Extended compressed tracking via random projection based on MSERs and online LS-SVM learning

Gao, Y., Shan, X. J., Hu, Z., Wang, D., Li, Y., & Tian, X.-H. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.02.012 · Cited by 27

Robust Object Tracking With Discrete Graph-Based Multiple Experts

Li, J., Deng, C., Xu, R. Y. D., Tao, D., & Zhao, B. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2686601 · Cited by 27

Fast and object-adaptive spatial regularization for correlation filters based tracking

Zhang, P., Guo, Q., & Feng, W. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.01.060 · Cited by 26

Efficient Diverse Ensemble for Discriminative Co-tracking

Meshgi, K., Oba, S., & Ishii, S. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00506 · Cited by 27

Correlation Filter Selection for Visual Tracking Using Reinforcement Learning

Xie, Y., Xiao, J., Huang, K., Thiyagalingam, J., & Zhao, Y. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2889488 · Cited by 28

Fast and robust template matching with majority neighbour similarity and annulus projection transformation

Lai, J., Lei, L., Deng, K., Yan, R., Ruan, Y., & Jin-yun, Z. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.107029 · Cited by 27

Target tracking from infrared imagery via an improved appearance model

Zhao, D., Gu, L., Qian, K., Zhou, H., Yang, T., & Cheng, K. (2019) · Infrared Physics & Technology · doi:10.1016/j.infrared.2019.103116 · Cited by 27

Hierarchical Spatiotemporal Context-Aware Correlation Filters for Visual Tracking

Wang, W., Zhang, K., Lv, M., & Wang, J. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2964757 · Cited by 26

Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter

Chen, X., Chen, H., Wu, H., Huang, Y., Yang, Y., Zhang, W., & Xiong, P. (2020) · Sensors · doi:10.3390/s20030932 · Cited by 27

Explaining away results in accurate and tolerant template matching

Spratling, M. (2020) · Pattern Recognition · doi:10.1016/j.patcog.2020.107337 · Cited by 27

Multi-expert visual tracking using hierarchical convolutional feature fusion via contextual information

Moorthy, S., & Joo, Y. H. (2020) · Information Sciences · doi:10.1016/j.ins.2020.09.060 · Cited by 27

Learning dynamic regression with automatic distractor repression for real-time UAV tracking

Fu, C., Ding, F., Li, Y., Jin, J., & Feng, C. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2020.104116 · Cited by 32

Object Tracking in Satellite Videos Based on Correlation Filter with Multi-Feature Fusion and Motion Trajectory Compensation

Liu, Y., Liao, Y., Lin, C., Jia, Y., Li, Z., & Yang, X. (2022) · Remote Sensing · doi:10.3390/rs14030777 · Cited by 27

VIDEO-BASED TABLE TENNIS TRACKING AND TRAJECTORY PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS

Li, H., Ali, S. G., Zhang, J., Sheng, B., Li, P., Jung, Y., Wang, J., Yang, P., Lü, P., Muhammad, K., et al. (2022) · Fractals · doi:10.1142/s0218348x22401569 · Cited by 28

Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking

Li, S., Liu, Y., Zhao, Q., & Feng, Z. (2021) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv53792.2021.00131 · Cited by 25

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision

Yuan, L., Qian, R., Cui, Y., Gong, B., Schroff, F., Yang, M., Adam, H., & Liu, T. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01359 · Cited by 28

Memory Network With Pixel-Level Spatio-Temporal Learning for Visual Object Tracking

Zhou, Z., Zhou, X., Chen, Z., Guo, P., Liu, Q., & Zhang, W. (2023) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2023.3272319 · Cited by 27

Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods

Alikhanov, J., & Kim, H. (2023) · IEEE Access · doi:10.1109/access.2023.3292539 · Cited by 30

Vehicle Tracking and Speed Measurement system (VTSM) based on novel feature descriptor: Diagonal Hexadecimal Pattern (DHP)

Jeyabharathi, D., & Dejey, D. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.08.011 · Cited by 27

Deep Learning-based Visual Tracking of UAVs using a PTZ Camera System

Unlu, H. U., Niehaus, P. S., Chirita, D., Evangeliou, N., & Tzes, A. P. (2019) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.2019.8927731 · Cited by 26

An accelerated correlation filter tracker

Xu, T., Feng, Z., Wu, X., & Kittler, J. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.107172 · Cited by 27

Need for Speed: A Benchmark for Higher Frame Rate Object TrackingPreprint

Galoogahi, H. K., Fagg, A., Huang, C., Ramanan, D., & Lucey, S. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.05884 · Cited by 35

Online Infrared UAV Target Tracking With Enhanced Context-Awareness and Pixel-Wise Attention Modulation

Fang, H., Wu, C., Wang, X., Zhou, F., Chang, Y., & Yan, L. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3432108 · Cited by 26

Speeded Up Low-Rank Online Metric Learning for Object Tracking

Cong, Y., Fan, B., Liu, J., Luo, J., & Yu, H. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2355692 · Cited by 27

Visual Tracking via Locally Structured Gaussian Process Regression

Sui, Y., & Zhang, L. (2015) · IEEE Signal Processing Letters · doi:10.1109/lsp.2015.2402313 · Cited by 26

Robust Visual Tracking via Multi-Scale Spatio-Temporal Context Learning

Xue, W., Xu, C., & Feng, Z. (2017) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2017.2720749 · Cited by 26

Deep Location-Specific Tracking

Yang, L., Liu, R., Zhang, D. D., & Zhang, L. (2017) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3123266.3123381 · Cited by 27

High performance visual tracking with circular and structural operators

Gao, P., Ma, Y., Song, K., Li, C., Wang, F., Xiao, L., & Zhang, Y. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.08.008 · Cited by 25

Robust object tracking with crow search optimized multi-cue particle filter

Walia, G. S., Kumar, A., Saxena, A., Sharma, K., & Singh, K. (2019) · Pattern Analysis and Applications · doi:10.1007/s10044-019-00847-7 · Cited by 26

VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results

Fan, H., Du, D., Wen, L., Zhu, P., Hu, Q., Ling, H., Shah, M. A., Pan, J., Schumann, A., Dong, B., et al. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-66823-5_43 · Cited by 26

Towards Balanced Learning for Instance Recognition

Pang, J., Chen, K., Li, Q., Xu, Z., Feng, H., Shi, J., Ouyang, W., & Lin, D. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-021-01434-2 · Cited by 27

Video based human crowd analysis using machine learning: a survey

Chaudhary, D., Kumar, S., & Dhaka, V. S. (2021) · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization · doi:10.1080/21681163.2021.1986859 · Cited by 26

Multiple Object Trackers in OpenCV: A Benchmark

Dardagan, N., Brđanin, A., Džigal, D., & Akagić, A. (2021) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie45552.2021.9576367 · Cited by 29

Self-Supervised Tracking via Target-Aware Data Synthesis

Li, X., Pei, W., Wang, Y., He, Z., Lu, H., & Yang, M. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3231537 · Cited by 31

Video SAR Moving Target Tracking Using Joint Kernelized Correlation Filter

Zhong, C., Ding, J., & Zhang, Y. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3146035 · Cited by 26

Global Instance Tracking: Locating Target More Like Humans

Hu, S., Zhao, X., Huang, L., & Huang, K. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3153312 · Cited by 31

Correlation Filters Based on Multi-Expert and Game Theory for Visual Object Tracking

Ma, S., Zhao, Z., Hou, Z., Zhang, L., Yang, X., & Pu, L. (2022) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2022.3178482 · Cited by 27

Review of Accident Detection Methods Using Dashcam Videos for Autonomous Driving Vehicles

Rocky, A., Wu, Q. M. J., & Zhang, W. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3354852 · Cited by 28

RTracker: Recoverable Tracking via PN Tree Structured Memory

Huang, Y., Li, X., Zhou, Z., Wang, Y., He, Z., & Yang, M. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01801 · Cited by 26

Object Tracking Using Multiple Features and Adaptive Model Updating

Hu, Q., Guo, Y., Lin, Z., An, W., & Cheng, H. (2017) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2017.2729378 · Cited by 26

Onboard Detection-Tracking-Localization

Tang, D., Fang, Q., Shen, L., & Hu, T. (2020) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2020.2976794 · Cited by 26

Multi target pigs tracking loss correction algorithm based on Faster R-CNN

Sun, L., Zou, Y., Li, Y., Cai, Z., Li, Y., Luo, B., Liu, Y., & Li, Y. (2018) · International journal of agricultural and biological engineering · doi:10.25165/j.ijabe.20181105.4232 · Cited by 26

Re3 : Real-Time Recurrent Regression Networks for Object Tracking.Preprint

Gordon, D., Farhadi, A., & Fox, D. (2017) · arXiv (Cornell University) · Cited by 26

Fully-Convolutional Siamese Networks for Object TrackingPreprint

Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1606.09549 · Cited by 75

Robust visual tracking using discriminative sparse collaborative map

Zhou, Z., Zhang, W., & Zhao, J. (2019) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-019-01011-7 · Cited by 25

Dual Attentional Siamese Network for Visual Tracking

Zhang, X., Ma, J., Liu, H., Hu, H., & Yang, P. (2022) · Displays · doi:10.1016/j.displa.2022.102205 · Cited by 26

Graph-Regularized Structured Support Vector Machine for Object Tracking

Zhang, S., Sui, Y., Zhao, S., & Zhang, L. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2513659 · Cited by 25

Iterative Graph Seeking for Object Tracking

Du, D., Wen, L., Qi, H., Huang, Q., Tian, Q. C., & Lyu, S. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2785626 · Cited by 25

Tracking-by-Trackers with a Distilled and Reinforced Model

Dunnhofer, M., Martinel, N., & Micheloni, C. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-69532-3_38 · Cited by 25

Learning Recurrent Memory Activation Networks for Visual Tracking

Pu, S., Song, Y., Ma, C., Zhang, H., & Yang, M. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.3038356 · Cited by 25

Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency

Wu, H., & Wang, X. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00999 · Cited by 26

Two-stage aware attentional Siamese network for visual tracking

Sun, X., Han, G., Guo, L., Yang, H., Wu, X., & Li, Q. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.108502 · Cited by 27

Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking

Cui, Y., Shan, J., Gu, Z., Li, Z., & Fang, Z. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3208687 · Cited by 25

Learning spatial variance-key surrounding-aware tracking via multi-expert deep feature fusion

Elayaperumal, D., & Joo, Y. H. (2023) · Information Sciences · doi:10.1016/j.ins.2023.02.009 · Cited by 25

Visual tracking with semi-supervised online weighted multiple instance learning

Wang, Z., Yoon, S., Xie, S. J., Lu, Y. F., & Park, D. S. (2015) · The Visual Computer · doi:10.1007/s00371-015-1067-1 · Cited by 25

Robust object tracking via multi-cue fusion

Hu, M., Liu, Z., Zhang, J., & Zhang, G. (2017) · Signal Processing · doi:10.1016/j.sigpro.2017.04.008 · Cited by 25

Online multi-object tracking combining optical flow and compressive tracking in Markov decision process

Yang, T., Cappelle, C., Ruichek, Y., & Bagdouri, M. E. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2018.11.034 · Cited by 25

A robust visual tracking method via local feature extraction and saliency detection

Wang, Y., Wei, X., Ding, L., Tang, X., & Zhang, H. (2019) · The Visual Computer · doi:10.1007/s00371-019-01646-1 · Cited by 25

Robust Long-Term Tracking via Instance-Specific Proposals

Liu, H., Hu, Q., Li, B., & Guo, Y. (2019) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2019.2908715 · Cited by 25

A novel approach for multi-cue feature fusion for robust object tracking

Kumar, A., Walia, G. S., & Sharma, K. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01649-9 · Cited by 25

High speed long-term visual object tracking algorithm for real robot systems

Jiang, M., Li, R., Liu, Q., Shi, Y., & Tlelo‐Cuautle, E. (2021) · Neurocomputing · doi:10.1016/j.neucom.2020.12.113 · Cited by 26

VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results

Fan, H., Wen, L., Du, D., Zhu, P., Hu, Q., Ling, H., Shah, M. A., Wang, B., Dong, B., Yuan, D., et al. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-66823-5_44 · Cited by 26

Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object TrackingPreprint

Wang, X., Li, C., Yang, R., Zhang, T., Tang, J., & Luo, B. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1811.10014 · Cited by 33

Unifying Motion and Appearance Cues for Visual Tracking via Shared Queries

Xue, C., Zhong, B., Liang, Q., Xia, H., & Song, S. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3486347 · Cited by 25

Object Tracking With Joint Optimization of Representation and Classification

Wang, Q., Chen, F., Xu, W., & Yang, M. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2339571 · Cited by 24

Visual Tracking via Temporally Smooth Sparse Coding

Liu, T., Wang, G., Wang, L., & Chan, K. L. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2365363 · Cited by 24

Robust object tracking based on local region sparse appearance model

Han, G., Wang, X., Liu, J., Sun, N., & Wang, C. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.07.122 · Cited by 24

Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation

Fang, Y., Yuan, Y., Li, L., Wu, J., Lin, W., & Li, Z. (2017) · IEEE Access · doi:10.1109/access.2017.2666218 · Cited by 24

Online hash tracking with spatio-temporal saliency auxiliary

Fang, J., Xu, H., Wang, Q., & Wu, T. (2017) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2017.03.006 · Cited by 24

Online Feature Selection for Visual Tracking

Roffo, G., & Melzi, S. (2016) · British Machine Vision Conference (BMVC) · doi:10.5244/c.30.120 · Cited by 23

Part-based visual tracking with spatially regularized correlation filters

Zhang, D., Zhang, Z., Zou, L., Xie, Z., He, F., Wu, Y., & Tu, Z. (2019) · The Visual Computer · doi:10.1007/s00371-019-01634-5 · Cited by 24

Learning salient features to prevent model drift for correlation tracking

Zhang, Y., Gao, X., Chen, Z., Zhong, H., Li, L., Yan, C. C., & Shen, T. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.12.006 · Cited by 24

Context-Aware and Occlusion Handling Mechanism for Online Visual Object Tracking

Mehmood, K., Jalil, A., Ali, A., Khan, B., Murad, M., Khan, W. U., & He, Y. (2020) · Electronics · doi:10.3390/electronics10010043 · Cited by 24

Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking

Xu, Y., Wan, M., Chen, Q., Qian, W., Ren, K., & Gu, G. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3117052 · Cited by 24

Siamese Cross-Domain Tracker Design for Seamless Tracking of Targets in RGB and Thermal Videos

Chandrakanth, V., Murthy, V. S. N., & Channappayya, S. S. (2022) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3151307 · Cited by 24

Vehicle Tracking on Satellite Video Based on Historical Model

Chen, S., Wang, T., Wang, H., Wang, Y., Hong, J., Dong, T., & Li, Z. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3195522 · Cited by 24

Distractor-Aware Event-Based Tracking

Fu, Y., Li, M., Liu, W., Wang, Y., Zhang, J., Yin, B., Wei, X., & Yang, X. S. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3326683 · Cited by 24

Object Tracking Benchmark

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