Výsledky vyhľadávania - "Multi-object Tracking"

Extended Target Tracking Utilizing Machine-Learning Software–With Applications to Animal Classification

Autori: Malmström, Magnus Kullberg, Anton Skog, Isaac a ďalší

Zdroj: IEEE Signal Processing Letters. 31:376-380

Predmety: Signal processing algorithms, Classification algorithms, Cameras, Target tracking, Filtering algorithms, Standards, Loss measurement, Multi-object tracking, object detection, environmental monitoring, deep learning, Kalman filters

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-201110
https://liu.diva-portal.org/smash/get/diva2:1839711/FULLTEXT01.pdf

Online Multi-Object Tracking Based on Record Confidence and Hierarchical Association for Cyber-Physical Social Intelligence

Autori: Jieming Yang Dezhen Feng Yuan Gao a ďalší

Zdroj: Big Data Mining and Analytics, Vol 8, Iss 4, Pp 851-866 (2025)

Predmety: multi-object tracking, neural network, Electronic computers. Computer science, deep learning, object detection, QA75.5-76.95

Prístupová URL adresa: https://doaj.org/article/a71b22cc101e4da28256d644d02d65f2

Self-Supervised Partial Cycle-Consistency for Multi-View Matching

Autori: Taggenbrock, F. Burghouts, G.J. Poppe, R. a ďalší

Prispievatelia: Taggenbrock, F. Burghouts, G.J. Poppe, R. a ďalší

Zdroj: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. :19-29

Predmety: Multi-camera, FOS: Computer and information sciences, Feature Learning, Cycle-Consistency, Self-Supervision, Multi-Camera, Computer Vision and Pattern Recognition (cs.CV), Feature learning, Computer Science - Computer Vision and Pattern Recognition, Cycle-consistency, Cross-View Multi-Object Tracking, Self-supervision, Cross-view multi-object tracking

Prístupová URL adresa: http://arxiv.org/abs/2501.06000
https://research-portal.uu.nl/en/publications/73da0aad-5160-4355-8de3-eda3a3215b3c
https://doi.org/10.5220/0013080900003912
https://resolver.tno.nl/uuid:4f178c95-4905-4035-8d1d-dc61b15b494e

High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards

Autori: Alessio Medaglini Biagio Peccerillo Sandro Bartolini a ďalší

Prispievatelia: Alessio Medaglini Biagio Peccerillo Sandro Bartolini a ďalší

Zdroj: IEEE Access, Vol 13, Pp 8649-8663 (2025)

Predmety: Multi-Object Tracking, heterogeneous board, CUDA, Heterogeneous board, Autonomous Driving, cyber-physical system, TK1-9971, multi-object tracking, Cyber-Physical System, Autonomous Driving, CUDA, Cyber-Physical System, Heterogeneous board, Kalman filter, Multi-Object Tracking, Autonomous driving, Kalman filter, Electrical engineering. Electronics. Nuclear engineering

Popis súboru: application/pdf; ELETTRONICO

Prístupová URL adresa: https://doaj.org/article/7f0bd2bf343e41b4b513cea9a971511d
https://ieeexplore.ieee.org/document/10723301
https://hdl.handle.net/11365/1281637
https://doi.org/10.1109/access.2024.3484129

Dual attention for multi object tracking with intra sample context and cross sample interaction

Autori: Kunshan Yang Wenwei Luo Mengmeng Jing a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Predmety: Multi-object tracking, Dual attention mechanism, One-stage, Real-time, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/467c302711e84afd9cde5c9215428d52

Multi-object tracking method for pigs based on directional bounding box annotation

Autori: Yabin WANG Suyin ZHOU Aijun XU a ďalší

Zdroj: Huanan Nongye Daxue xuebao, Vol 46, Iss 6, Pp 821-831 (2025)

Predmety: multi-object tracking, oriented bounding box, yolov11n, pig, bot-sort, Agriculture

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1001-411X

Prístupová URL adresa: https://doaj.org/article/fee32b0de97345b08a3230c6f12f8366

Synergistic enhancement of detection-tracking framework for zebrafish shoaling behavior analysis

Autori: Chen Chen Natalia Binti Ali Lingyi Zhao a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Predmety: Zebrafish shoaling behavior, Multi-object tracking, Deep learning, Ethanol neurotoxicity, Behavioral quantification, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/c94b885f0761445eaf08578ec4691c61

DeepSteg: Integerating new paradigms of cascaded deep video steganography for securing digital data

Autori: Sahar Magdy Sherin Youssef Karma M. Fathalla a ďalší

Zdroj: Alexandria Engineering Journal, Vol 116, Iss, Pp 483-501 (2025)

Predmety: Multi-object detection, DeepLearning, Multi-object tracking, Cryptography, Medical data, Steganography, TA1-2040, Engineering (General). Civil engineering (General)

Prístupová URL adresa: https://doaj.org/article/ac24519a20f5438697078317080b34bf

Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming

Autori: Huang, Jinze Yu, Xiaohan An, Dong a ďalší

Zdroj: Expert systems with applications. 264:1-11

Predmety: Benchmark, Deformable multiple fish tracking, Multi-object tracking, Tracking evaluation

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55051

Research on Multi-Objective Pedestrian Tracking Algorithm Based on Full-Size Feature Fusion

Autori: Yihuai Zhu Zhandong Liu Ke Li a ďalší

Zdroj: IEEE Access, Vol 13, Pp 39107-39116 (2025)

Predmety: person re-identification, data association, Multi-object tracking, pedestrian tracking, object detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/c72fd93dbc224a12a9de504c07feb7a0

Enhanced DeepSORT and StrongSORT for Multicattle Tracking With Optimized Detection and Re-Identification

Autori: Hyeon-Seok Sim Hyun-Chong Cho

Zdroj: IEEE Access, Vol 13, Pp 19353-19364 (2025)

Predmety: StrongSORT, multi-object tracking, DeepSORT, Cattle tracking, YOLOv9-t, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/1e5c9a9a77b54f32b860b0c3d943daba

3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning

Autori: Minho Cho Euntai Kim

Zdroj: IEEE Access, Vol 13, Pp 12447-12457 (2025)

Predmety: multi-object tracking, reinforcement learning, contrastive learning, Electrical engineering. Electronics. Nuclear engineering, 3D LiDAR, TK1-9971

Prístupová URL adresa: https://doaj.org/article/d275fb847fc741aeaad0c226c5748278

CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer

Autori: Abdollah Amirkhani Seyed Alireza Khoshnevis

Zdroj: IEEE Access, Vol 13, Pp 80587-80600 (2025)

Predmety: positional encoding, trajectory refinement, CFTformer, transformer network, Electrical engineering. Electronics. Nuclear engineering, multi-object tracking (MOT), TK1-9971

Prístupová URL adresa: https://doaj.org/article/8fd846a3a4614227909d90374e597407

Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments

Autori: Tareq Mahmod AlZubi Umar Raza Mukhtar

Zdroj: IEEE Access, Vol 13, Pp 47146-47164 (2025)

Predmety: Multi-object tracking, transformer, encoder-decoder, multi-scale pyramid, Electrical engineering. Electronics. Nuclear engineering, memory network, TK1-9971

Prístupová URL adresa: https://doaj.org/article/7711794e983b42f1b873d4646dba7ac4

EF-StrongSORT: An Enhanced Feature StrongSORT Model for Multi-Object Tracking

Autori: Miar Mamdouh Khalil Sherine Nagy Saleh Noha S. Tawfik a ďalší

Zdroj: IEEE Access, Vol 13, Pp 53608-53620 (2025)

Predmety: multi-object tracking, feature extraction, Exponential moving average, object detection, feature bank, Electrical engineering. Electronics. Nuclear engineering, Kalman filtering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/13b5a060df44404aa01021daef0e0b59

Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation

Autori: Longxuan Wei Yutao Zhu Yufeng Li a ďalší

Zdroj: IEEE Access, Vol 13, Pp 73773-73784 (2025)

Predmety: object counting, multi-object tracking, real-time object detection, Computer vision, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Prístupová URL adresa: https://doaj.org/article/1926a705e11f4cb0a7bcd2e8ece632d3

SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features

Autori: Song Wang Zhu Wang Can Li a ďalší

Zdroj: IEEE Access, Vol 13, Pp 214-230 (2025)

Predmety: FOS: Computer and information sciences, Multi-object tracking (MOT), Computer Vision and Pattern Recognition (cs.CV), spiking neural networks, Computer Science - Computer Vision and Pattern Recognition, event camera, Electrical engineering. Electronics. Nuclear engineering, event-based MOT datasets, event-based vision, TK1-9971

Prístupová URL adresa: http://arxiv.org/abs/2309.16987
https://doaj.org/article/e8ccb3ef1f8740e4b10021f474f51a76

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Autori: Lihao Liu Yanqi Cheng Zhongying Deng a ďalší

Zdroj: Proceedings of the 32nd ACM International Conference on Multimedia. :1265-1273

Predmety: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, foundation model, multi-object tracking, traffic video dataset

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2311.18839
https://hdl.handle.net/11573/1728975
https://doi.org/10.1145/3664647.3681153

A two stage multi object tracking algorithm with transformer and attention mechanism

Autori: Mingxing Hou Yiming Wu Hong Shi a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Predmety: Multi-object tracking, You Only Look Once Version 8, Attention mechanism, Re-identification, Two-stage association, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/3971e002be994649840fd9aff2ff455f

Re-identification assistance and multi-stage association for pedestrian multi-object tracking

Autori: Ye Li Li Zhan Lei Wu a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Predmety: Multi-Object Tracking, Object Detection, Person Re-identification, Person Motion Estimation, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/73247a32da41491f8277e71c020dd6c6