Multiple Hypothesis Tracking Revisited

Cited by (667)

Items 101–200 of 667

1. Vehicle Detection for Autonomous Driving: A Review of Algorithms and Datasets
   Jules Karangwa, Jun Liu, Zixuan Zeng · 2023 · IEEE Transactions on Intelligent Transportation Systems
2. DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
   Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh–Triet Tran, Khoa Luu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
3. Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms
   Juan Villacrés, Michelle Viscaíno, José F. Delpiano, Stavros George Vougioukas, Fernando Auat Cheein · 2022 · Computers and Electronics in Agriculture
4. Shared Cross-Modal Trajectory Prediction for Autonomous Driving
   Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
5. Multi-Sensor Multi-Target Tracking Using Domain Knowledge and Clustering
   Shaoming He, Hyo‐Sang Shin, Antonios Tsourdos · 2018 · IEEE Sensors Journal
6. Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle
   Martin Dimitrievski, Peter Veelaert, Wilfried R. Philips · 2019 · Sensors
7. Multiple Object Tracking via Feature Pyramid Siamese Networks
   Sangyun Lee, Euntai Kim · 2018 · IEEE Access
8. Near-Online Tracking With Co-Occurrence Constraints in Blockchain-Based Edge Computing
   Hao Sheng, Shuai Wang, Yang Zhang, Dongxiao Yu, Xiuzhen Cheng, Weifeng Lyu, Zhang Xiong · 2020 · IEEE Internet of Things Journal
9. Temporal dynamic appearance modeling for online multi-person tracking
   Min Yang, Yunde Jia · 2016 · Computer Vision and Image Understanding
10. A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving
    Shuman Guo, Shichang Wang, Zhenzhong Yang, Lijun Wang, Huawei Zhang, Pengyan Guo, Yuguo Gao, Junkai Guo · 2022 · Applied Sciences
11. End-to-End Learning Deep CRF Models for Multi-Object Tracking Deep CRF Models
    Jun Xiang, Guohan Xu, Chao Ma, Jianhua Hou · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
12. Online multiple pedestrians tracking using deep temporal appearance matching association
    Young-Chul Yoon, Du Yong Kim, Young-Min Song, Kwangjin Yoon, Moongu Jeon · 2020 · Information Sciences
13. Hybrid Motion Model for Multiple Object Tracking in Mobile Devices
    Yubin Wu, Hao Sheng, Yang Zhang, Shuai Wang, Zhang Xiong, Wei Ke · 2022 · IEEE Internet of Things Journal
14. An Appearance-Based Tracking Algorithm for Aerial Search and Rescue Purposes
    Abdulla Al-Kaff, María J. Gómez-Silva, Francisco Miguel Moreno, Arturo de la Escalera, José María Armingol · 2019 · Sensors
15. A General Recurrent Tracking Framework without Real Data
    Wang, Shuai, Sheng, Hao, Zhang, Yang, Wu, Yubin, Xiong, Zhang · 2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
16. Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking
    Andrii Maksai, Pascal Fua · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
17. Multiple hypothesis tracking algorithm for multi‐target multi‐camera tracking with disjoint views
    Kwangjin Yoon, Young-Min Song, Moongu Jeon · 2018 · IET Image Processing
18. A labeled random finite set online multi-object tracker for video data
    Du Yong Kim, Ba‐Ngu Vo, Ba-Tuong Vo, Moongu Jeon · 2019 · Pattern Recognition
19. Data Association for Multi-Object Tracking via Deep Neural Networks
    Kwangjin Yoon, Du Yong Kim, Young-Chul Yoon, Moongu Jeon · 2019 · Sensors
20. L-Shape Fitting-Based Vehicle Pose Estimation and Tracking Using 3D-LiDAR
    Chengfeng Zhao, Chen Fu, John M. Dolan, Jun Wang · 2021 · IEEE Transactions on Intelligent Vehicles
21. Multi-object tracking: a systematic literature review
    Saif Hassan, Ghulam Mujtaba, Asif Rajput, Noureen Fatima · 2023 · Multimedia Tools and Applications
22. A Hybrid Data Association Framework for Robust Online Multi-Object Tracking
    Min Yang, Yuwei Wu, Yunde Jia · 2017 · IEEE Transactions on Image Processing
23. Exploiting Flow Dynamics for Superresolution in Contrast-Enhanced Ultrasound
    Oren Solomon, Ruud J. G. van Sloun, Hessel Wijkstra, Massimo Mischi, Yonina C. Eldar · 2019 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
24. ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking
    Cheng-Che Cheng, Min-Xuan Qiu, Chen-Kuo Chiang, Shang‐Hong Lai · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
25. UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
    Jonathon Luiten, Idil Esen Zulfikar, Bastian Leibe · 2020 · IEEE Winter Conference on Applications of Computer Vision
26. Online multi-object tracking using multi-function integration and tracking simulation training
    Jieming Yang, Hongwei Ge, Jinlong Yang, Yubing Tong, Shuzhi Su · 2021 · Applied Intelligence
27. Simple Unsupervised Multi-Object Tracking
    Shyamgopal Karthik, Ameya Prabhu, Vineet Gandhi · 2020 · arXiv (Cornell University)
28. Semi-online Multi-people Tracking by Re-identification
    Long Lan, Xinchao Wang, Gang Hua, Thomas S. Huang, Dacheng Tao · 2020 · International Journal of Computer Vision
29. Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking
    Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
30. CLIPPER: A Graph-Theoretic Framework for Robust Data Association
    Parker C. Lusk, Kaveh Fathian, Jonathan P. How · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
31. Opening up Open World Tracking
    Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
32. Vehicle Detection Algorithms for Autonomous Driving: A Review
    Liang Liang, Haihua Ma, Le Zhao, Xiaopeng Xie, Chengxin Hua, Miao Zhang, Yonghui Zhang · 2024 · Sensors
33. Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
    Andrea Hornakova, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto D. Henschel · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
34. Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions
    Shaofei Wang, Charless C. Fowlkes · 2016 · International Journal of Computer Vision
35. Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques
    Peter Kok-Yiu Wong, Han Luo, Mingzhu Wang, Pak Him Leung, Jack C.P. Cheng · 2021 · Advanced Engineering Informatics
36. UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
    Chuanyun Wang, Yang Su, Jingjing Wang, Tian Wang, Qian Gao · 2022 · Remote Sensing
37. Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking
    Patrick Emami, Pãnos M. Pardalos, Lily Elefteriadou, Sanjay Ranka · 2018 · arXiv (Cornell University)
38. Multi-object tracking review: retrospective and emerging trend
    Zhiyu Guan, Zhaofa Wang, Gan Zhang, Luwei Li, Miaomiao Zhang, Zhiping Shi, Na Jiang · 2025 · Artificial Intelligence Review
39. Multi-object tracking with discriminant correlation filter based deep learning tracker
    Tao Yang, Cindy Cappelle, Yassine Ruichek, M. El Bagdouri · 2019 · Integrated Computer-Aided Engineering
40. Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos
    Wang, Jie, Simeonova, Sandra, Shahbazi, Mozhdeh · 2019 · Remote Sensing
41. Customized Multi-person Tracker
    Liqian Ma, Siyu Tang, Michael J. Black, Luc Van Gool · 2019 · Lecture notes in computer science
42. Blockchain-Based Distributed Multiagent Reinforcement Learning for Collaborative Multiobject Tracking Framework
    Jiahao Shen, Hao Sheng, Shuai Wang, Ruixuan Cong, Da Yang, Yang Zhang · 2023 · IEEE Transactions on Computers
43. MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation
    Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
44. Spatio-Temporal Point Process for Multiple Object Tracking
    Tao Wang, Kean Chen, Weiyao Lin, John See, Zenghui Zhang, Qian Xu, Xia Jia · 2020 · IEEE Transactions on Neural Networks and Learning Systems
45. Learning Attentional Recurrent Neural Network for Visual Tracking
    Qiurui Wang, Chun Yuan, Jingdong Wang, Wenjun Zeng · 2018 · IEEE Transactions on Multimedia
46. Distributed Joint Probabilistic Data Association Filter With Hybrid Fusion Strategy
    Shaoming He, Hyo‐Sang Shin, Antonios Tsourdos · 2019 · IEEE Transactions on Instrumentation and Measurement
47. A Review of Deep Learning Techniques for Crowd Behavior Analysis
    Bhawana Tyagi, S. Nigam, R. Singh · 2022 · Archives of Computational Methods in Engineering
48. Detection, Localization, and Tracking of Multiple MAVs With Panoramic Stereo Camera Networks
    Ye Zheng, Canlun Zheng, Xiaoyu Zhang, Fei Chen, Zhang Chen, Shiyu Zhao · 2022 · IEEE Transactions on Automation Science and Engineering
49. Semantic Segmentation Based Crowd Tracking and Anomaly Detection via Neuro-fuzzy Classifier in Smart Surveillance System
    Faisal Abdullah, Ahmad Jalal · 2022 · Arabian Journal for Science and Engineering
50. Pedestrian Detection and Tracking System Based on Deep-SORT, YOLOv5, and New Data Association Metrics
    Mohammed Razzok, Abdelmajid Badri, Ilham El Mourabit, Yassine Ruichek, Aïcha Sahel · 2023 · Information
51. CDT: Cooperative Detection and Tracking for Tracing Multiple Objects in Video Sequences
    Han-Ul Kim, Chang‐Su Kim · 2016 · Lecture notes in computer science
52. GMOT-40: A Benchmark for Generic Multiple Object Tracking
    Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
    Johannes Gross, Aljoša Ošep, B. Leibe · 2019 · International Conference on 3D Vision
54. Motion-compensated online object tracking for activity detection and crowd behavior analysis
    Ashish Singh Patel, Ranjana Vyas, Om Prakash Vyas, Muneendra Ojha, Vivek Tiwari · 2022 · The Visual Computer
55. Multi-Object Multi-Camera Tracking Based on Deep Learning for Intelligent Transportation: A Review
    Lunlin Fei, Bing Han · 2023 · Sensors
56. Learning Discriminative Appearance Models for Online Multi-Object Tracking With Appearance Discriminability Measures
    Seong-Ho Lee, Myung-Yun Kim, Seung‐Hwan Bae · 2018 · IEEE Access
57. Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management
    Young-Min Song, Kwangjin Yoon, Young-Chul Yoon, Kin‐Choong Yow, Moongu Jeon · 2019 · IEEE Access
58. OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association
    Kwangjin Yoon, Jeonghwan Gwak, Young-Min Song, Young-Chul Yoon, Moongu Jeon · 2020 · IEEE Access
59. Cerebral microcirculation mapped by echo particle tracking velocimetry quantifies the intracranial pressure and detects ischemia
    Zeng Zhang, Misun Hwang, Todd J. Kilbaugh, Anush Narasimhan Sridharan, Joseph Katz · 2022 · Nature Communications
60. City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching
    Yuhang He, Jie Han, Wentao Yu, Xiaopeng Hong, Xing Wei, Yihong Gong · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
61. Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions
    Wang, Shaofei, Charless C. Fowlkes · 2017 · eScholarship (California Digital Library)
62. Online Multi-Object Tracking Based on Feature Representation and Bayesian Filtering Within a Deep Learning Architecture
    Jun Xiang, Guoshuai Zhang, Jianhua Hou · 2019 · IEEE Access
63. A dual CNN–RNN for multiple people tracking
    Maryam Babaee, Zimu Li, Gerhard Rigoll · 2019 · Neurocomputing
64. Learning Non-Uniform Hypergraph for Multi-Object Tracking
    Longyin Wen, Dawei Du, Shengkun Li, Xiao Bian, Siwei Lyu · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
65. A multi-target detection and position tracking algorithm based on mmWave-FMCW radar data
    Farhad Shamsfakhr, David Macii, Luigi Palopoli, Michele Corrà, Alessandro Ferrari, Daniele Fontanelli · 2024 · Measurement
66. Deep Association
    Cong Ma, Yuan Li, Fan Yang, Ziwei Zhang, Yueqing Zhuang, Huizhu Jia, Xiaodong Xie · 2019 · International Conference on Multimedia Retrieval
67. Multi-Object Tracking and Segmentation Via Neural Message Passing
    Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé · 2022 · International Journal of Computer Vision
68. Structural Constraint Data Association for Online Multi-object Tracking
    Ju Hong Yoon, Chang‐Ryeol Lee, Ming–Hsuan Yang, Kuk‐Jin Yoon · 2018 · International Journal of Computer Vision
69. Video Relation Detection via Multiple Hypothesis Association
    Zixuan Su, Xindi Shang, Jingjing Chen, Yu–Gang Jiang, Zhiyong Qiu, Tat‐Seng Chua · 2020 · ACM International Conference on Multimedia (ACM MM)
70. Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification
    Nathanael L. Baisa · 2021 · Journal of Visual Communication and Image Representation
71. Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
    Han Shen, Lichao Huang, Chang Huang, Wei Xu · 2018 · arXiv (Cornell University)
72. Super-Resolution Ultrasound: From Data Acquisition and Motion Correction to Localization, Tracking, and Evaluation
    Stefanie Dencks, Matthew R. Lowerison, Joseph Thomas T. Hansen-Shearer, YiRang Shin, Georg Schmitz, Pengfei Song, Meng-Xing Tang · 2025 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
73. Automatic vehicle trajectory data reconstruction at scale
    Yanbing Wang, Derek Gloudemans, Junyi Ji, Zi Nean Teoh, Lisa Liu, Gergely Zachár, William Barbour, Daniel B. Work · 2024 · Transportation Research Part C Emerging Technologies
74. Human tracking over camera networks: a review
    Li Hou, Wanggen Wan, Jenq–Neng Hwang, Rizwan Muhammad, Mingyang Yang, Kang Han · 2017 · EURASIP Journal on Advances in Signal Processing
75. Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate
    Shaoming He, Hyo‐Sang Shin, Antonios Tsourdos · 2018 · Sensors
76. Automated Analysis of Marine Video with Limited Data
    Deborah Levy, Yuval Belfer, Elad Osherov, Eyal Bigal, Aviad P. Scheinin, Hagai Nativ, Dan Tchernov, Tali Treibitz · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
77. SORT-YM: An Algorithm of Multi-Object Tracking with YOLOv4-Tiny and Motion Prediction
    Han Wu, Chenjie Du, Zhongping Ji, Mingyu Gao, Zhiwei He · 2021 · Electronics
78. Identity-Quantity Harmonic Multi-Object Tracking
    Yuhang He, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong · 2022 · IEEE Transactions on Image Processing
79. Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos
    Hongyang Yu, Guorong Li, Li Su, Bineng Zhong, Hongxun Yao, Qingming Huang · 2019 · Pattern Recognition Letters
80. Hypothesis Testing Based Tracking With Spatio-Temporal Joint Interaction Modeling
    Hao Sheng, Yang Zhang, Yubin Wu, Shuai Wang, Weifeng Lyu, Wei Ke, Zhang Xiong · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
81. An improved deep learning architecture for multi-object tracking systems
    Jesús Urdiales, David Martín, José María Armingol · 2023 · Integrated Computer-Aided Engineering
82. Exploit the Connectivity: Multi-Object Tracking with TrackletNet
    Gaoang Wang, Yizhou Wang, Haotian Zhang, Renshu Gu, Jenq–Neng Hwang · 2018 · arXiv (Cornell University)
83. Real-time vehicle detection and counting based on YOLO and DeepSORT
    Thanh-Nghi Doan, Truong Minh-Tuyen · 2020 · International Conference on Knowledge and Systems Engineering/Proceedings
84. Instance Segmentation Enabled Hybrid Data Association and Discriminative Hashing for Online Multi-Object Tracking
    Peng Dai, Xue Wang, Weihang Zhang, Junfeng Chen · 2018 · IEEE Transactions on Multimedia
85. A review of object tracking methods: From general field to autonomous vehicles
    Jingwei Cao, Hongyu Zhang, Lisheng Jin, Jiawang Lv, Guoyang Hou, Chengtao Zhang · 2024 · Neurocomputing
86. Video-based tracking of vehicles using multiple time-spatial images
    Niluthpol Chowdhury Mithun, Tamanna Howlader, S. Rahman · 2016 · Expert systems with applications
87. Detection and Tracking on Automotive Radar Data with Deep Learning
    Julius F. Tilly, Stefan Haag, Ole Schumann, Fabio Weishaupt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche · 2020 · International Conference on Information Fusion (FUSION)
88. Multiple Pedestrian Tracking With Graph Attention Map on Urban Road Scene
    Zhihui Wang, Zhiyuan Li, Jiaxu Leng, Ming Li, Lu Bai · 2022 · IEEE Transactions on Intelligent Transportation Systems
89. Spatio-temporal object detection by deep learning: Video-interlacing to improve multi-object tracking
    Ala Mhalla, Thierry Château, Najoua Essoukri Ben Amara · 2019 · Image and Vision Computing
90. Occlusion Handling in Tracking Multiple People Using RNN
    Maryam Babaee, Zimu Li, Gerhard Rigoll · 2018 · Proceedings - International Conference on Image Processing
91. Deep AI military staff: cooperative battlefield situation awareness for commander’s decision making
    Chang-Eun Lee, Jaeuk Baek, Jeany Son, Young-Guk Ha · 2022 · The Journal of Supercomputing
92. Passenger Counter Based on Random Forest Regressor Using Drive Recorder and Sensors in Buses
    Hayato Nakashima, Ismail Arai, Kazutoshi Fujikawa · 2019 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
93. A Robust Multi-Athlete Tracking Algorithm by Exploiting Discriminant Features and Long-Term Dependencies
    Nan Ran, Longteng Kong, Yunhong Wang, Qingjie Liu · 2018 · Lecture notes in computer science
94. SMAT: Smart Multiple Affinity Metrics for Multiple Object Tracking
    Nicolás González, Andres Ospina, P. Calvez · 2020 · International Conference on Image Analysis and Recognition
95. Multiple Sound Source Position Estimation by Drone Audition Based on Data Association Between Sound Source Localization and Identification
    Mizuho Wakabayashi, Hiroshi G. Okuno, Makoto Kumon · 2020 · IEEE Robotics and Automation Letters
96. DeepMOT: A Differentiable Framework for Training Multiple Object Trackers
    Yihong Xu, Yutong Ban, Xavier Alameda-Pineda, Radu Horaud · 2019 · arXiv (Cornell University)
97. TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking
    Akshay Rangesh, Pranav Maheshwari, Mez Gebre, Siddhesh Mhatre, Vahid Reza Ramezani, Mohan Manubhai Trivedi · 2021 · arXiv (Cornell University)
98. Online Scheme for Multiple Camera Multiple Target Tracking Based on Multiple Hypothesis Tracking
    Haanju Yoo, Kikyung Kim, Moonsub Byeon, Younghan Jeon, Jin-Young Choi · 2017 · IEEE transactions on circuits and systems for video technology (Print)
99. A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
    Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song Chun Zhu · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
100. Online CNN-based multiple object tracking with enhanced model updates and identity association
     Weihao Gan, Shuo Wang, Xuejing Lei, Ming‐Sui Lee, C.‐C. Jay Kuo · 2018 · Signal Processing Image Communication