Multiple Hypothesis Tracking Revisited

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684

Design and Analysis of Modern Tracking Systems

Blackman, S. S., & Populi, R. (1999) · Cited by 3,509

An algorithm for tracking multiple targets

Reid, D. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1102177 · Cited by 3,059

Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

Bernardin, K., & Stiefelhagen, R. (2008) · EURASIP Journal on Image and Video Processing · doi:10.1155/2008/246309 · Cited by 2,918

Visual Tracking: An Experimental Survey

Smeulders, A. W. M., Chu, D. M., Cucchiara, R., Calderara, S., Dehghan, A., & Shah, M. A. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.230 · Cited by 1,527

MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingPreprint

Leal-Taixé, L., Milan, A., Reid, I. D., Roth, S., & Konrad Schindler, B. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1504.01942 · Cited by 1,034

Multiple Object Tracking Using K-Shortest Paths Optimization

Berclaz, J., Fleuret, F., Turetken, E., & Fua, P. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.21 · Cited by 1,015

Global data association for multi-object tracking using network flows

Zhang, L., Li, Y., & Nevatia, R. (2008) · 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.2008.4587584 · Cited by 945

Globally-optimal greedy algorithms for tracking a variable number of objects

Pirsiavash, H., Ramanan, D., & Fowlkes, C. C. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995604 · Cited by 790

Hierarchical generator of tracking global hypotheses

Gómez-Silva, M. J., de la Escalera, A., & Armingol, J. M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.117813 · Cited by 2

Target Tracking Based on Kalman Filtering Techniques

Chen, H., Feng, X., Huang, Z., & Zhuang, Z. (2022) · International Symposium on Control Engineering and Robotics (ISCER) · doi:10.1109/iscer55570.2022.00048 · Cited by 2

Head Point Positioning and Spatial-Channel Self-Attention Network for Multi-Object Tracking

Zhang, X., Gao, S., Yang, Y., Chu, C., & Zhou, Z. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956665 · Cited by 2

Human Detection and Tracking Based on YOLOv3 and DeepSORT

Tyagi, B., Nigam, S., & Singh, R. K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-2100-3_11 · Cited by 2

E-Talk: Accelerating Active Speaker Detection with Audio-Visual Fusion and Edge-Cloud Computing

Yu, X., Zhang, L., & Li, X. (2023) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/secon58729.2023.10287518 · Cited by 2

Adaptive Estimation Using Interacting Multiple Model With Moving Window

Saeedzadeh, A., Setoodeh, P., Alavi, M., & Habibi, S. R. (2024) · IEEE Access · doi:10.1109/access.2024.3422255 · Cited by 2

Historical Blurry Video-Based Face Recognition

Zhai, L., Cui, S., Wang, Y., Wang, S., Zhou, J. W., & Wilsbacher, G. (2024) · Journal of Imaging · doi:10.3390/jimaging10090236 · Cited by 2

LQTTrack: Multi-Object Tracking by Focusing on Low-Quality Targets Association

Li, S., Cao, Y. S., Ren, H., Zhu, D., & Xie, X. (2024) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2024.056824 · Cited by 2

RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture

Pan, X., Zheng, B., Jiang, X., Zeng, Z., Kou, Q., Wang, H., & Jin, X. (2024) · SIGGRAPH Asia Conference Papers · doi:10.1145/3680528.3687615 · Cited by 2

Efficient and accurate feature-aided active tracking for underwater small targets in highly cluttered harbor environments using a full motion acoustic flow field solution

Wei, Z., Han, Y., Liu, Q., Zhao, S., & Song, J. H. (2025) · The Journal of the Acoustical Society of America · doi:10.1121/10.0035564 · Cited by 2

Research on ship dynamic feature extraction and prediction method based on visual data

Lin, S., Li, Y., Hu, Y., Shi, J., Wang, S., Wang, P., Mei, Q., Li, X., & Wei, H. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.120938 · Cited by 2

Hybrid-Driven Multiple Target Tracking Using Pulse Description Word From Targets’ Radar Sensors

Li, J., Wu, P., Li, X., Liu, B., He, S., & Zhao, R. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3569903 · Cited by 2

Multi-marker tracking for large-scale X-ray stereo video data

Jiang, X., Simon, M., Yang, Y., & Denzler, J. (2017) · Signal Processing Image Communication · doi:10.1016/j.image.2017.06.009 · Cited by 2

Comparison of different detection methods for persistent multiple hypothesis tracking in wide area motion imagery

Hartung, C., Spraul, R., & Schuchert, T. (2017) · Image and signal processing for remote sensing. Conference · doi:10.1117/12.2277711 · Cited by 2

Community Evolution Model for Network Flow Based Multiple Object Tracking

Chen, J., Sheng, H., Zhang, Y., Ke, W., & Xiong, Z. (2018) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai.2018.00088 · Cited by 2

Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow

Yi, J., Wu, P., Huang, Q., Qu, H. Y., Hoeppner, D. J., & Metaxas, D. (2019) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2019.00138 · Cited by 2

Improved converted measurement Kalman filter for satellite‐borne multi‐target tracking

Wang, J., Zhao, K., Wei, S., & Wei, Z. (2019) · The Journal of Engineering · doi:10.1049/joe.2019.0207 · Cited by 2

A novel method for robust markerless tracking of rodent paws in 3D

Maghsoudi, O. H., Vahedipour, A., & Spence, A. J. (2019) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-019-0477-9 · Cited by 2

Appearance features for online multiple camera multiple target tracking

Le, Q. C., & Hidane, M. (2020) · ACM Symposium on Applied Computing · doi:10.1145/3341105.3373960 · Cited by 2

Joint Probabilistic Data Association Filter Using Adaptive Gibbs Sampling

He, S., Shin, H., & Tsourdos, A. (2020) · International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas48674.2020.9213988 · Cited by 2

Multiple Hypothesis Tracking With Integrated Cell Division Detection

Schacherer, D. P., Ritter, C., & Rohr, K. (2021) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi48211.2021.9434153 · Cited by 2

Comparison of Infrastructure- and Onboard Vehicle-Based Sensor Systems in Measuring Operational Safety Assessment (OSA) Metrics

Das, S. K., Rath, P. K., Lu, D., Smith, T., Wishart, J. D., & Yu, H. (2023) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2023-01-0858 · Cited by 2

Adaptive Spatio-temporal Model Based Multiple Object Tracking in Video Sequences Considering a Moving Camera

Tao, Y., Chen, J., Fang, Y., Masaki, I., & Horn, B. K. P. (2018) · International Conference on Universal Village (UV) · doi:10.1109/uv.2018.8642156 · Cited by 2

Learning Deep Appearance Feature for Multi-target Tracking

Li, H., Jiang, N., Sun, C., Zhou, Z., & Wu, W. (2017) · International Conference on Virtual Reality and Visualization · doi:10.1109/icvrv.2017.00011 · Cited by 2

Multi-object Tracking Combines Motion and Visual Information

Wang, F., Zhu, E., Luo, L., & Long, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57524-3_14 · Cited by 2

TdmTracker: Multi-Object Tracker Guided by Trajectory Distribution Map

Gao, Y., Gu, X., Gao, Q., Hou, R., & Hou, Y. (2022) · Electronics · doi:10.3390/electronics11071010 · Cited by 2

Semi-Automatic Video Annotation For Object DetectionPreprint

İnce, K. G., Köksal, A., Fazla, A., & Alatan, A. A. (2021) · arXiv (Cornell University) · Cited by 2

Bayesian data fusion for distributed learning

Wu, P. (2024) · doi:10.17760/d20659818 · Cited by 2

A centralized multi-sensor particle filter algorithm of formation targets

Haipeng, W., Sun, W., Lin, X., & Wang, Z. (2016) · International Conference on Digital Information and Communication Technology and its Applications (DICTAP) · doi:10.1109/dictap.2016.7544000 · Cited by 1

Multi-object tracking based on spatio-temporal cue fusion and optimized cascade matching

Zhang, G., Du, Z., Zhang, X., Wang, L., He, Z., & Meng, X. (2022) · International Conference on Intelligent Computing and Signal Processing (ICSP) · doi:10.1109/icsp54964.2022.9778545 · Cited by 1

Deep Learning based Traffic Analysis of Motor Cycles in Urban City

Abirami, T., Nivas, C., Naveen, R., & Nithishkumar, T. G. (2022) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs53718.2022.9788433 · Cited by 1

Online Multiplayer Tracking by Extracting Temporal Contexts with Transformer

Han, X., Wang, Y., Liu, S., & Jin, C. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/6177973 · Cited by 2

Multi-target Tracker Using Combined Motion and Appearance Model for Radar Video Data

Zhang, J., Sun, J., Zhang, Y., & Zhu, X. (2022) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea54703.2022.10006114 · Cited by 1

Autoregressive Temporal Modeling for Advanced Tracking-by-Diffusion

Nguyen, P., Madhok, R., Raj, B., & Luu, K. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02439-x · Cited by 1

Tracking Multiple Players in Beach Volleyball Videos

Jiang, X., Liu, Z., & Wang, Y. (2016) · Communications in computer and information science · doi:10.1007/978-981-10-3476-3_8 · Cited by 1

Multiple objects tracking based on multiple information integration

Pu, K., Lian, Z., & Liu, Z. (2017) · IEEE International Conference on Progress in Informatics and Computing · doi:10.1109/pic.2017.8359543 · Cited by 1

Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance

Liu, X., Lo, D., & Chau, T. (2018) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2018/702 · Cited by 1

Spatio-Temporal Correlation Graph for Association Enhancement in Multi-object Tracking

Zhong, Z., Sheng, H., Zhang, Y., Wu, Y., Chen, J., & Ke, W. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-29551-6_35 · Cited by 1

Saliency Guided Data Association Measure for Multiple-Object Tracking

Fouzia, S., Bell, M. R., & Klette, R. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-30143-9_3 · Cited by 1

The New High-Performance Face Tracking System based on Detection-Tracking and Tracklet-Tracklet Association in Semi-Online Mode

Ly, N. Q., Tan, T., Tai, C., & Cuong, V. C. (2020) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2020.0110303 · Cited by 1

Application of Deep Association for Real Time Pedestrian Tracking

Chang, C., Lin, Y., & Su, Y.-D. (2020) · Indo-Taiwan International Conference on Computing, Analytics and Networks (Indo-Taiwan ICAN) · doi:10.1109/indo-taiwanican48429.2020.9181317 · Cited by 1

Online Multiple Object Tracking Using Single Object Tracker and Maximum Weight Clique Graph

Hu, Y., Zhang, X., Li, Y., & Tian, R. (2020) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp48831.2020.9287090 · Cited by 1

Multiple Hypothesis Tracking with Mixed Integer Linear Programming

Xie, D., & Liu, Z. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-8411-4_201 · Cited by 1

Real Time Tracking of Traffic Signs for Autonomous Driving Using Monocular Camera Images

Hegde, S. K., & Kannan, S. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96308-8_66 · Cited by 1

Motion Prior-Based Dual Markov Decision Processes for Multi-airplane Tracking

Yang, R., Zhang, X., Wang, G., & Wu, H. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-19-7867-8_32 · Cited by 2

Traffic Congestion and Road Anomalies Detection Using CCTVs Images Processing, Challenges and Opportunities

Swidi, A. E., Ardchir, S., Elghoumari, Y., Daif, A., & Azouazi, M. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-26384-2_9 · Cited by 1

A Multi-Hypothesis Tracker with Enhanced Appearance Model for Generic Crowded Scene

Wang, C., Ke, W., Wu, Z., & Xiong, Z. (2022) · International Conference on Universal Village (UV) · doi:10.1109/uv56588.2022.10185491 · Cited by 1

X-Tracking: Tracking Human in Masking Surveillance Video

Wu, Z., Ke, W., Wang, C., & Xiong, Z. (2022) · International Conference on Universal Village (UV) · doi:10.1109/uv56588.2022.10185520 · Cited by 1

YOLOv8-AS: Masked Face Detection and Tracking Based on YOLOv8 with Attention Mechanism Model

Abbas, S. F., Shaker, S. H., & Abdullatif, F. A. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-62814-6_19 · Cited by 1

Adaptive Data Association for Enhanced Multi-object Tracking and Segmentation with Pre-matching and Selective Association

Chen, L., Liao, G., Zhu, G., & Zeng, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78312-8_17 · Cited by 1

MAML MOT: Multiple Object Tracking Based on Meta-Learning

Chen, J., & Deng, C. (2024) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc54092.2024.10831964 · Cited by 1

Analysis of Tracking Algorithms for Multi-person Tracking

Anne, M. A. D., & Brindha, M. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-79041-6_11 · Cited by 1

Improved multiple hypothesis tracking using incomplete measurements for group targets

Ni, N., Jiang, Q., & Hu, C. (2024) · IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · doi:10.1109/icsidp62679.2024.10869236 · Cited by 1

TCAFF: Temporal Consistency for Robot Frame Alignment

Peterson, M. B., Lusk, P. C., Avila, A., & How, J. P. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127311 · Cited by 1

A distributed object detector-tracker aided video encoder for smart camera networks

Jagarlapudi, S. B., Gorur, P., & Amrutur, B. S. (2017) · International Conference on Distributed Smart Cameras · doi:10.1145/3131885.3131920 · Cited by 1

Model-based robotic hand tracking and gripper state determination

de Araujo, A. C., Lima, A. M. N., Mattila, J. M., & Muthusamy, R. (2017) · Latin American Robotics Symposium, Brazilian Symposium on Robotics and Workshop on Robotics in Education (LARS/SBR/WRE) · doi:10.1109/sbr-lars-r.2017.8215330 · Cited by 1

Online multiple objects tracking with detection reliability prior constraint

Yang, H., & He, L. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5530-z · Cited by 1

Residual Transfer Learning for Multiple Object Tracking

Zuniga, J. D. G., Nguyen, T.-L.-A., & Brémond, F. (2018) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2018.8639320 · Cited by 1

Challenges and Solutions in Motion Surveillance - A Survey

Karthika Pragadeeswari, C., & Yamuna, G. (2019) · doi:10.1109/iccsp.2019.8698046 · Cited by 1

Multiple Object Tracking Based on the Deep Neural Networks and Correlation Filter

Zhao, Q., Wang, L., & Zhou, Z. (2019) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio49542.2019.8961656 · Cited by 1

Multiple Object Tracking Method Under the Conditions of Uncertainty of Their Detection

Garanin, O. I., & Borisov, V. V. (2019) · International Conference on Complex Systems: Control and Modeling Problems (CSCMP) · doi:10.1109/cscmp45713.2019.8976658 · Cited by 1

Online Layered Multiple Object Tracking Using Residual-Residual Networks

Jiang, B.-C., & Lee, C. (2019) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc47483.2019.9023151 · Cited by 1

A Multiple Hypothesis Tracking Approach to Collision Detection for Unmanned Aerial Vehicles

d’Apolito, F., Sulzbachner, C., & Bruckmüller, F. (2019) · IEEE/AIAA Digital Avionics Systems Conference (DASC) · doi:10.1109/dasc43569.2019.9081705 · Cited by 1

A Dual Scale Matching Model for Long-Term Association

Ye, Z., Wu, Y., Wang, S., Zhang, Y., Chen, Y., Ke, W., & Sheng, H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-59016-1_54 · Cited by 1

Data association framework based on biconnected gated recurrent unit network for multiple object tracking

Shi, Z., Ren, H., Cao, Q., Fan, B., & Fan, Q. (2020) · Journal of Electronic Imaging · doi:10.1117/1.jei.29.5.053017 · Cited by 1

A Sparse Branch and Bound Optimization of Noisy Weighted DAG Modification Under Constraints: A Method for Monocular Data Association to Multiple Laser Planes

Al-Osaimi, F. R. (2021) · IEEE Access · doi:10.1109/access.2020.3048798 · Cited by 1

Towards Understanding and Inferring the Crowd: Guided Second Order Attention Networks and Re-identification for Multi-object Tracking

Bhujel, N., Li, J., Yau, W., & Wang, H. (2020) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros45743.2020.9341625 · Cited by 1

Multichannel Overlapping Speaker Segmentation Using Multiple Hypothesis Tracking Of Acoustic And Spatial Features

Hogg, A. O. T., Evers, C., & Naylor, P. A. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9414130 · Cited by 1

Multi-Task Based Marine Radar Tracking Network

Hu, M., Zheng, C., & Sun, L. (2021) · International Conference on Computer and Communication Systems (ICCCS) · doi:10.1109/icccs52626.2021.9449313 · Cited by 1

PREDICTING AND MANAGING LANE CAPACITY AT A SIGNAL-CONTROLLED INTERSECTION

Shepelev, V., Gorodokin, V., Slobodin, I., & Khazukov, K. (2021) · Вестник Южно-Уральского государственного университета. Серия: Экономика и менеджмент · doi:10.14529/em210220 · Cited by 1

Online Multi-Object Tracking with Pose-Guided Object Location and Dual Self-Attention Network

Zhang, X., Wang, S., Yang, Y., Chu, C., & Zhou, Z. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-89370-5_17 · Cited by 1

A Joint Multiple Hypothesis Tracking and Particle Filter Approach for Aerial Data Fusion

d’Apolito, F., Eliasch, C., Sulzbachner, C., & Mecklenbräuker, C. F. (2022) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion49751.2022.9841308 · Cited by 1

Instance-Wise Contrastive Learning for Multi-object Tracking

Luo, Q., & Xu, C. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18916-6_52 · Cited by 1

ViCTer: A semi-supervised video character tracker

Li, Z., Wang, X., Zhang, Z., & Kindratenko, V. (2023) · Machine Learning with Applications · doi:10.1016/j.mlwa.2023.100460 · Cited by 1

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions.Preprint

Qin, L., Xu, Y., Liu, X., & Zhu, S. C. (2017) · arXiv (Cornell University) · Cited by 1

Multi Target Tracking by Learning from Generalized Graph DifferencesPreprint

Ardö, H., & Nilsson, M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.06646 · Cited by 1

Low-cost LIDAR based Vehicle Pose Estimation and TrackingPreprint

Fu, C., Dong, C., Zhang, X., & Dolan, J. M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.01701 · Cited by 1

Tracking Passengers and Baggage Items using Multi-camera Systems at Security Checkpoints.Preprint

Siddique, A., & Medeiros, H. P. (2020) · arXiv (Cornell University) · Cited by 1

Semi-Automatic Segmentation of Coronary Arteries in CT Images

Lemic, A. (2016) · Lund University Publications Student Papers (Lund University)

Computer vision, machine learning, pattern recognition and natural language processing. Specic interests in segment-based object recognition, scene understanding and semantic segmentation, video object segmentation and recognition, composite statistical inference, large-scale machine learning, Monte Carlo methods, random Fourier methods, kernel methods.

Li, F. (2015)

Enhancing Network Flow for Multi-target Tracking with Detection Group Analysis

Li, C., Qian, K., Chen, J., Xue, G., Sheng, H., & Ke, W. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-99365-2_15

A Modified MDP Algorithm for Multi-Pedestrians Tracking

Chen, H., Li, X., Zheng, Y., & Lv, L. (2018) · IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) · doi:10.1109/imcec.2018.8469500

Iterative Maximum Clique Clustering Based Detection Filter

Zhang, X., Sheng, H., Zhang, Y., Chen, J., Wu, Y., Xue, G., & Wei, Q. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-04212-7_13

Pedestrian Detection Systems

López, A. M. (2018) · Wiley Encyclopedia of Electrical and Electronics Engineering · doi:10.1002/047134608x.w8388

Multiple Hypothesis Tracking based on Discriminative Appearance Features of Convolutional Neural Network

Wang, X., & Liu, H. (2018) · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) · doi:10.1109/ccis.2018.8691208

A multiple people tracking algorithm for large view scene

Wang, S., Cao, Y. J., Cheng, G., Xue, F., & Dong, J. (2019) · International Conference on Graphics and Image Processing (ICGIP) · doi:10.1117/12.2524205

Online Visual Robot Tracking and Identification using Deep LSTM NetworksPreprint

Farazi, H., & Behnke, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1810.04941

Algorytmy stosowane w systemach pojazdów autonomicznych

Bugala, M. (2018) · Szybkobieżne Pojazdy Gąsienicowe

Clutter Filtering Algorithm in Dense Clutter Environment

Mou, S., & Guo, J. (2019) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio49542.2019.8961873

Real-Time Detection and Tracking Using Hybrid DNNs and Space-Aware Color Feature: From Algorithm to System

Feng, L., Igarashi, H., Shibata, S., Kobayashi, Y., Takenaka, T., & Zhang, W. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-41404-7_5

Multiple Hypothesis Tracking Filter with Lambert Post Filtering for Multiple Space Object Tracking

Mishra, U. R. (2019) · OakTrust (Texas A&M University Libraries)

End-to-End Multi-Object Tracking with Global Response MapPreprint

Wan, X., Cao, J., Zhou, S., & Wang, J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.06344

Scene-Specific Multiple Cues Integration for Multiperson Tracking

Dong, Y., Pei, M., Liu, X., & Zhao, M. (2019) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2019.2928338

Faster object tracking pipeline for real time trackingPreprint

Soni, P., Shah, F., & Vyas, N. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.03910

An online multiple object tracker based on structure keeper net

Wang, N., Zou, Q., Ma, Q., Huang, Y., Lou, H., Wu, X., & Liu, H. (2021) · Applied Intelligence · doi:10.1007/s10489-021-02294-6

Active Traffic Monitoring Through Large Scale Processing of Aerial Camera Array Networks

Sarasua, W., Zhao, X. B., & Davis, W. (2020)

Vision based solutions for autonomous navigation

Karunsekera, H. H. R. (2020) · doi:10.32657/10356/146366

Improved Data Association of Hypothesis-Based Trackers Using Fast and Robust Object Initialization

Dolatabadi, M., Elfring, J., & van de Molengraft, R. (2021) · Sensors · doi:10.3390/s21093146

A Traffic Anomaly Detection and Identification Approach Based on Multi-instance Learning

Dong, F. D., Liang, M., & Wang, G. (2021) · The 2nd International Conference on Computing and Data Science · doi:10.1145/3448734.3450926

Soccer Player Tracking in Low Quality VideoPreprint

Martins, E., & Brito, J. H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2105.10700

Multi-object tracking via discriminative appearance modeling

Huang, S., Jiang, S., & Zhu, X. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2016.06.003 · Cited by 13

Multiple Hypothesis Tracking based on Discriminative Appearance Features of Convolutional Neural Network

Wang, X., & Liu, H. (2018) · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) · doi:10.1109/ccis.2018.8691208

Iterative Multiple Hypothesis Tracking With Tracklet-Level Association

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