Fetching the paper…
Reading the bibliography…
This paper introduces SFSORT, the world's fastest multi-object tracking system based on experiments conducted on MOT Challenge datasets.
B. D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision
1981
Earlier work this paper cites.
R. Jonker and A. Volgenant, A Shortest Augmenting Path Algorithm for Dense and Sparse Linear Assignment Problems
1987
Earlier work this paper cites.
G. D. Evangelidis and E. Z. Psarakis, Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
2008
Earlier work this paper cites.
K. Bernardin, and R. Stiefelhagen, Evaluating multiple object tracking performance: The clear mot metrics
2008
Earlier work this paper cites.
E. Rublee, V. Rabaud, K. Konolige and G. Bradski, ORB: An efficient alternative to SIFT or SURF
2011
Earlier work this paper cites.
A. Bewley, Z. Ge, L. Ott, et al., Simple online and realtime tracking
2016
Earlier work this paper cites.
F. Yu, W. Li, Q. Li, et al., POI: Multiple Object Tracking with High Performance Detection and Appearance Feature
2016
Earlier work this paper cites.
S. Zagoruyko and N. Komodakis, Wide Residual Networks
2016
Earlier work this paper cites.
E. Ristani, F. Solera, R. Zou, et al. , Performance measures and a data set for multi-target, multi-camera tracking
2016
Earlier work this paper cites.
S. Ren, K. He, R. Girshick and J. Sun, Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2017
Earlier work this paper cites.
E. Bochinski, V. Eiselein and T. Sikora, High-Speed tracking-by-detection without using image information
2017
Earlier work this paper cites.
N. Wojke, A. Bewley, and D. Paulus, Simple Online and Realtime Tracking with a Deep Association Metric
2017
Earlier work this paper cites.
L. Zhao, X. Li, Y. Zhuang and J. Wang, Deeply-Learned Part-Aligned Representations for Person Re-identification
2017
Earlier work this paper cites.
Z. Cai and N. Vasconcelos, Cascade R-CNN: Delving into High Quality Object Detection
2018
Earlier work this paper cites.
B. Jiang, R. Luo, J. Mao, et al., Acquisition of Localization Confidence for Accurate Object Detection
2018
Earlier work this paper cites.
J. Redmon and A. Farhadi, YOLOv3: An Incremental Improvement
2018
Earlier work this paper cites.
L. Chen, H. Ai, Z. Zhuang and C. Shang, Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
2018
Earlier work this paper cites.
K. Duan, S. Bai, L. Xie, et al., CenterNet: Keypoint Triplets for Object Detection
2019
Earlier work this paper cites.
Z. Tian, C. Shen, H. Chen and T. He, FCOS: Fully Convolutional One-Stage Object Detection
2019
Earlier work this paper cites.
H. Rezatofighi, N. Tsoi, J. Gwak, et al., Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
2019
Earlier work this paper cites.
H. Luo, Y. Gu, X. Liao, et al., Bag of Tricks and a Strong Baseline for Deep Person Re-Identification
2019
Earlier work this paper cites.
Z. Zheng, P. Wang, W. Liu, et al., Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
2020
Cited alongside, same era.
L. He, X. Liao, W. Liu, et al., FastReID: A Pytorch Toolbox for General Instance Re-identification
2020
Cited alongside, same era.
J. Li, X. Gao and T. Jiang, Graph Networks for Multiple Object Tracking
2020
Cited alongside, same era.
G. Brasó and L. Leal-Taixé, Learning a Neural Solver for Multiple Object Tracking
2020
Cited alongside, same era.
2020
Cited alongside, same era.
J. Luiten, and A. Hoffhues, TrackEval
D. Stadler and J. Beyerer, Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds
2022
Later among the works it cites.
Y. Wang, J. Hsieh, P. Chen, et al., SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
2022
Later among the works it cites.
S. Wang, D. Yang, Y. Wu, et al., Tracking Game: Self-adaptative Agent based Multi-object Tracking
2022
Later among the works it cites.
Q. Liu et al., Online multi-object tracking with unsupervised re-identification learning and occlusion estimation
2022
Later among the works it cites.
O. Cetintas, G. Brasó and L. Leal-Taixé, Unifying Short and Long-Term Tracking with Graph Hierarchies
2023
Later among the works it cites.
D. Stadler and J. Beyerer, An Improved Association Pipeline for Multi-Person Tracking
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2020
Cited alongside, same era.
Z. Ge, S. Liu, F. Wang, et al., YOLOX: Exceeding YOLO Series in 2021
2021
Cited alongside, same era.
Y. Du, J. Wan, Y. Zhao, et al., GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021
2021
Cited alongside, same era.
T. Khurana, A. Dave and D. Ramanan, Detecting Invisible People
2021
Cited alongside, same era.
Alexey Dosovitskiy, L. Beyer, A. Kolesnikov, et al., An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
2021
Cited alongside, same era.
J. He, Z. Huang, N. Wang and Z. Zhang, Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
2021
Cited alongside, same era.
P. Dendorfer, A. Osep, A. Milan, et al. , MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
2021
Cited alongside, same era.
2023
Later among the works it cites.
J. Cao, J. Pang, X. Weng, et al., Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
2023
Later among the works it cites.
F. Yang, S. Odashima, S. Masui and S. Jiang, Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space
2023
Later among the works it cites.
M. Yang, G. Han, B. Yan, et al., Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
2023
Later among the works it cites.
G. Maggiolino, A. Ahmad, J. Cao and K. Kitani, Deep OC-Sort: Multi-Pedestrian Tracking by Adaptive Re-Identification
2023
Later among the works it cites.
Y. Du, Z. Zhao, Y. Song, et al., StrongSORT: Make DeepSORT Great Again
2023
Later among the works it cites.
D. Stadler and J. Beyerer, BYTEv2: Associating More Detection Boxes Under Occlusion for Improved Multi-person Tracking
2023
Later among the works it cites.
T. Meng, C. Fu, M. Huang, et al., Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections
2023
Later among the works it cites.
C. Wang, A. Bochkovskiy, and H. M. Liao YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
2023
Later among the works it cites.
M. Vonheim Larsen, S. Rolfsjord, D. Gusland, et al., BASE: Probably a Better Approach to Multi-Object Tracking
2023
Later among the works it cites.
J. Cao, J. Zhang, B. Li, et al., RetinaMOT: rethinking anchor-free YOLOv5 for online multiple object tracking
2023
Later among the works it cites.
J. Hyun, M. Kang, D. Wee and D. -Y. Yeung, Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
2023
Later among the works it cites.
T. Fischer, T. E. Huang, J. Pang, et al., QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
2023
Later among the works it cites.
H. Ren, S. Han, H. Ding, et al., Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representation
2023
Later among the works it cites.
H. Fukui, T. Miyagawa, Y. Morishita, Multi-Object Tracking as Attention Mechanism
2023
Later among the works it cites.
K. Yi, K. Luo, X. Luo, et al., UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
2023
Later among the works it cites.