Data association in multiple object tracking: A survey of recent techniques
L Rakai, H Song, SJ Sun, W Zhang, Y Yang - Expert systems with …, 2022 - Elsevier
The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
[HTML][HTML] Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and …
Highlights•A novel method to build world models for robots based on 3D object tracking.•A
real world evaluation of our method in highly occluded scenarios.•Detection and association …
real world evaluation of our method in highly occluded scenarios.•Detection and association …
Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems
Service robots are expected to play an important role in our daily lives as our companions in
home and work environments in the near future. An important requirement for fulfilling this …
home and work environments in the near future. An important requirement for fulfilling this …
Causalchaos! dataset for comprehensive causal action question answering over longer causal chains grounded in dynamic visual scenes
Causal video question answering (QA) has garnered increasing interest, yet existing
datasets often lack depth in causal reasoning. To address this gap, we capitalize on the …
datasets often lack depth in causal reasoning. To address this gap, we capitalize on the …
Monte Carlo planning for active object classification
Classifying objects in complex unknown environments is a challenging problem in robotics
and is fundamental in many applications. Modern sensors and sophisticated perception …
and is fundamental in many applications. Modern sensors and sophisticated perception …
[HTML][HTML] MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants
The agro-food industry is turning to robots to address the challenge of labour shortage.
However, agro-food environments pose difficulties for robots due to high variation and …
However, agro-food environments pose difficulties for robots due to high variation and …
Viewpoint evaluation for online 3-D active object classification
We present an end-to-end method for active object classification in cluttered scenes from
RGB-D data. Our algorithms predict the quality of future viewpoints in the form of entropy …
RGB-D data. Our algorithms predict the quality of future viewpoints in the form of entropy …
Semantic relational object tracking
A Persson, PZ Dos Martires… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper addresses the topic of semantic world modeling by conjoining probabilistic
reasoning and object anchoring. The proposed approach uses a so-called bottom-up object …
reasoning and object anchoring. The proposed approach uses a so-called bottom-up object …
[HTML][HTML] MOT-DETR: 3D single shot detection and tracking with transformers to build 3D representations for agro-food robots
D Rapado-Rincon, H Nap, K Smolenova… - … and Electronics in …, 2024 - Elsevier
In the current demand for automation in the agro-food industry, accurately detecting and
localizing relevant objects in 3D is essential for successful robotic operations. However, this …
localizing relevant objects in 3D is essential for successful robotic operations. However, this …
A unified framework for data association aware robust belief space planning and perception
We develop a belief space planning approach that advances the state of the art by
incorporating reasoning about data association within planning, while considering …
incorporating reasoning about data association within planning, while considering …