PuTR: A Pure Transformer for Decoupled and Online Multi-Object Tracking
C Liu, H Li, Z Wang, R Xu - arXiv preprint arXiv:2405.14119, 2024 - arxiv.org
Recent advances in Multi-Object Tracking (MOT) have achieved remarkable success in
short-term association within the decoupled tracking-by-detection online paradigm …
short-term association within the decoupled tracking-by-detection online paradigm …
Multiple Toddler Tracking in Indoor Videos
Multiple toddler tracking (MTT) encompasses identifying and continually associating
toddlers in video footage, a crucial task for their safety and development monitoring. While …
toddlers in video footage, a crucial task for their safety and development monitoring. While …
Multiple Object Tracking as ID Prediction
In Multiple Object Tracking (MOT), tracking-by-detection methods have stood the test for a
long time, which split the process into two parts according to the definition: object detection …
long time, which split the process into two parts according to the definition: object detection …
Multi-Granularity Language-Guided Multi-Object Tracking
Y Li, M Naseer, J Cao, Y Zhu, J Sun, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Most existing multi-object tracking methods typically learn visual tracking features via
maximizing dis-similarities of different instances and minimizing similarities of the same …
maximizing dis-similarities of different instances and minimizing similarities of the same …
Detection and Statistics System of Pavement Distresses Based on Street View Videos
Timely detection and statistical analysis of pavement distresses are essential for improving
road maintenance efficiency. However, traditional methods for pavement defect detection …
road maintenance efficiency. However, traditional methods for pavement defect detection …
Hierarchical IoU Tracking based on Interval
Y Du, Z Zhao, F Su - arXiv preprint arXiv:2406.13271, 2024 - arxiv.org
Multi-Object Tracking (MOT) aims to detect and associate all targets of given classes across
frames. Current dominant solutions, eg ByteTrack and StrongSORT++, follow the hybrid …
frames. Current dominant solutions, eg ByteTrack and StrongSORT++, follow the hybrid …
Bidirectional Tracking Method for Construction Workers in Dealing with Identity Errors
Y Liu, Y Wang, Z Zhou - Mathematics, 2024 - mdpi.com
Online multi-object tracking (MOT) techniques are instrumental in monitoring workers'
positions and identities in construction settings. Traditional approaches, which employ deep …
positions and identities in construction settings. Traditional approaches, which employ deep …
Engineering an Efficient Object Tracker for Non-Linear Motion
The goal of multi-object tracking is to detect and track all objects in a scene while
maintaining unique identifiers for each, by associating their bounding boxes across video …
maintaining unique identifiers for each, by associating their bounding boxes across video …
A Multilevel Strategy to Improve People Tracking in a Real-World Scenario
CB de Oliveira, JC Neves, RO Ribeiro… - arXiv preprint arXiv …, 2024 - arxiv.org
The Pal\'acio do Planalto, office of the President of Brazil, was invaded by protesters on
January 8, 2023. Surveillance videos taken from inside the building were subsequently …
January 8, 2023. Surveillance videos taken from inside the building were subsequently …
NanoTrack: An Enhanced MOT Method by Recycling Low-score Detections from Light-weight Object Detector
W Li, L Chen, J Cai, L Tong, E Chen… - Proceedings of the 2024 …, 2024 - dl.acm.org
In this paper, we introduced NanoTrack, a novel multi-object tracking (MOT) method that
leverages light-weight object detectors to enhance tracking performance in real-time …
leverages light-weight object detectors to enhance tracking performance in real-time …