Achieving Adaptive Visual Multi-Object Tracking with Unscented Kalman Filter [PDF]
Sensors, 2022 As an essential part of intelligent monitoring, behavior recognition, automatic driving, and others, the challenge of multi-object tracking is still to ensure tracking accuracy and robustness, especially in complex occlusion environments.
Guowei Zhang +5 more
doaj +4 more sources
Multi-Object Tracking on SWIR Images for City Surveillance in an Edge-Computing Environment [PDF]
Sensors, 2023 Although Short-Wave Infrared (SWIR) sensors have advantages in terms of robustness in bad weather and low-light conditions, the SWIR images have not been well studied for automated object detection and tracking systems.
Jihun Park +3 more
doaj +2 more sources
A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving
Applied Sciences, 2022 Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding ...
Shuman Guo +7 more
doaj +3 more sources
A two stage multi object tracking algorithm with transformer and attention mechanism [PDF]
Scientific ReportsIn the field of engineering safety, multi-object tracking encounters difficulties in effectively conducting object detection due to occlusion, as well as the issue of experiencing frequent switching of target identity ID switches (IDs).
Mingxing Hou +3 more
doaj +2 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
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 +2 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
Multi-Object Tracking with Correlation Filter for Autonomous Vehicle
Sensors, 2018 Multi-object tracking is a crucial problem for autonomous vehicle. Most state-of-the-art approaches adopt the tracking-by-detection strategy, which is a two-step procedure consisting of the detection module and the tracking module.
Dawei Zhao +4 more
doaj +3 more sources
Object Initialization in Multiple Object Tracking:A Review [PDF]
Jisuanji kexue, 2022 Object initialization method determines how to treat the multi-object tracking problem,being directly related to the subsequent tracking result.Different object initialization methods confirm different multi-object tracking frameworks and each framework ...
WEN Cheng-yu, FANG Wei-dong, CHEN Wei
doaj +1 more source
Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection [PDF]
Hangkong bingqi, 2021 For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time ...
Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
doaj +1 more source