Results 11 to 20 of about 711,042 (336)
Pixel-Guided Association for Multi-Object Tracking [PDF]
Sensors, 2022 Propagation and association tasks in Multi-Object Tracking (MOT) play a pivotal role in accurately linking the trajectories of moving objects. Recently, modern deep learning models have been addressing these tasks by introducing fragmented solutions for ...
Abhijeet Boragule +3 more
doaj +4 more sources
Referring Multi-Object Tracking [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMOT).
Dongming Wu +5 more
semanticscholar +3 more sources
NCT:noise-control multi-object tracking
Complex & Intelligent Systems, 2023 Multi-Object Tracking (MOT) is an important topic in computer vision. Recent MOT methods based on the anchor-free paradigm trade complicated hierarchical structures for tracking performance.
Kai Zeng +6 more
doaj +2 more sources
SiamMOT: Siamese Multi-Object Tracking [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 In this paper, we focus on improving online multi-object tracking (MOT). In particular, we introduce a region-based Siamese Multi-Object Tracking network, which we name SiamMOT.
Bing Shuai +4 more
semanticscholar +4 more sources
Towards Generalizable Multi-Object Tracking [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Multi-Object Tracking (MOT) encompasses various tracking scenarios, each characterized by unique traits. Ef-fective trackers should demonstrate a high degree of gen-eralizability across diverse scenarios.
Zheng Qin +5 more
semanticscholar +3 more sources
M3OT: A Multi-Drone Multi-Modality dataset for Multi-Object Tracking [PDF]
Scientific DataWe provide a dataset for object detection and tracking in aerial imagery, namely “M3OT”. M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) in a high-altitude region, consisting both RGB and ...
Zhihao Nie +5 more
doaj +2 more sources
Automatic Parameter Adaptation for Multi-object Tracking [PDF]
, 2013 Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations. In an offline
Bremond, François +2 more
core +7 more sources
Deep Network Flow for Multi-Object Tracking [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Data association problems are an important component of many computer vision applications, with multi-object tracking being one of the most prominent examples.
Chandraker, Manmohan +3 more
core +2 more sources
Multi-object tracking using sparse representation [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 Manuscript to ICASSP 2013International audienceRecently sparse representation has been successfully applied to single object tracking by observing the reconstruction error of candidate object with sparse representation. In practice, sparse representation
Bai, Cong +3 more
core +6 more sources
Comparative study on dynamic visual tracking abilities in three-dimensional multi-object tracking tasks among basketball players of different skill levels [PDF]
Frontiers in PsychologyObjectiveThis study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi-object tracking (3D-MOT) task paradigm.MethodsForty ...
Zhi Guo, Qiulin Wang
doaj +2 more sources