Seatrack: Rethinking observation-centric sort for robust nearshore multiple object tracking
Abstract Nearshore Multiple Object Tracking (NMOT) aims to locate and associate
nearshore objects. Current approaches utilize Automatic Identification Systems (AIS) and …
nearshore objects. Current approaches utilize Automatic Identification Systems (AIS) and …
Multi-object tracking using score-driven hierarchical association strategy between predicted tracklets and objects
T Zhao, G Yang, Y Li, M Lu, H Sun - Image and Vision Computing, 2024 - Elsevier
Abstract Machine vision is one of the major technologies to guarantee intelligent robots'
human-centered embodied intelligence. Especially in the complex dynamic scene involving …
human-centered embodied intelligence. Especially in the complex dynamic scene involving …
Puzzle: taking livestock tracking to the next level
Animal behavior is a critical aspect for a better understanding and management of animal
health and welfare. The combination of cameras with artificial intelligence holds significant …
health and welfare. The combination of cameras with artificial intelligence holds significant …
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 …
Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown
Multi-object tracking (MOT) emerges as a pivotal and highly promising branch in the field of
computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects …
computer vision. Classical closed-vocabulary MOT (CV-MOT) methods aim to track objects …
Drone Data Analytics for Measuring Traffic Metrics at Intersections in High-Density Areas
This study employed over 100 hours of high-altitude drone video data from eight
intersections in Hohhot to generate a unique and extensive dataset encompassing high …
intersections in Hohhot to generate a unique and extensive dataset encompassing high …
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 …
Addressing Challenges of Incorporating Appearance Cues Into Heuristic Multi-Object Tracker via a Novel Feature Paradigm
C Liu, H Li, Z Wang, R Xu - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
In the field of Multi-Object Tracking (MOT), the incorporation of appearance cues into
tracking-by-detection heuristic trackers using re-identification (ReID) features has posed …
tracking-by-detection heuristic trackers using re-identification (ReID) features has posed …
Advancing multi-object tracking through occlusion-awareness and trajectory optimization
The essence of multiple-object tracking lies in assigning a unique identity to each target. In
recent years, most methods have made some progress in the study of complex scenarios …
recent years, most methods have made some progress in the study of complex scenarios …