Airbus/GTI Working Session

 

Research  

 

GTI Data   

 

Open databases created and software developed by the GTI and supplemental material to papers.  

 

Databases  

SportCLIP (2025): Multi-sport dataset for text-guided video summarization.
Ficosa (2024): The FNTVD dataset has been generated using the Ficosa's recording car.
MATDAT (2023):  More than 90K labeled images of martial arts tricking.
SEAW – DATASET (2022): 3 stereoscopic contents in 4K resolution at 30 fps.
UPM-GTI-Face dataset (2022): 11 different subjects captured in 4K, under 2 scenarios, and 2 face mask conditions.
LaSoDa (2022): 60 annotated images from soccer matches in five stadiums with different characteristics and light conditions.
PIROPO Database (2021):People in Indoor ROoms with Perspective and Omnidirectional cameras.
EVENT-CLASS (2021): High-quality 360-degree videos in the context of tele-education.
Parking Lot Occupancy Database (2020)
Nighttime Vehicle Detection database (NVD) (2019)
Hand gesture dataset (2019): Multi-modal Leap Motion dataset for Hand Gesture Recognition.
ViCoCoS-3D (2016): VideoConference Common Scenes in 3D.
LASIESTA database (2016): More than 20 sequences to test moving object detection and tracking algorithms.
Hand gesture database (2015): Hand-gesture database composed by high-resolution color images acquired with the Senz3D sensor.
HRRFaceD database (2014):Face database composed by high resolution images acquired with Microsoft Kinect 2 (second generation).
Lab database (2012): Set of 6 sequences to test moving object detection strategies.
Vehicle image database (2012): More than 7000 images of vehicles and roads.           

 

Software  

Empowering Computer Vision in Higher Education(2024): A Novel Tool for Enhancing Video Coding Comprehension.
Engaging students in audiovisual coding through interactive MATLAB GUIs (2024)
TOP-Former: A Multi-Agent Transformer Approach for the Team Orienteering Problem (2023)
Solving Routing Problems for Multiple Cooperative Unmanned Aerial Vehicles using Transformer Networks (2023)
Vision Transformers and Traditional Convolutional Neural Networks for Face Recognition Tasks (2023)
Faster GSAC-DNN (2023): A Deep Learning Approach to Nighttime Vehicle Detection Using a Fast Grid of Spatial Aware Classifiers.
SETForSeQ (2020): Subjective Evaluation Tool for Foreground Segmentation Quality. 
SMV Player for Oculus Rift (2016)
Bag-D3P (2016): Face recognition using depth information. 
TSLAB (2015): Tool for Semiautomatic LABeling.    

   

Supplementary material  

Soccer line mark segmentation and classification with stochastic watershed transform (2022)
A fully automatic method for segmentation of soccer playing fields (2022)
Grass band detection in soccer images for improved image registration (2022)
Evaluating the Influence of the HMD, Usability, and Fatigue in 360VR Video Quality Assessments (2020)
Automatic soccer field of play registration (2020)   
Augmented reality tool for the situational awareness improvement of UAV operators (2017)
Detection of static moving objects using multiple nonparametric background-foreground models on a Finite State Machine (2015)
Real-time nonparametric background subtraction with tracking-based foreground update (2015)  
Camera localization using trajectories and maps (2014)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

Airbus/GTI Working Session

On February 27th, the Grupo de Tratamiento de Imágenes (GTI) hosted the Airbus/UPM Working Session. The hybrid in-person and telematic meeting was attended by representatives from Airbus Germany, Airbus Spain, and NASA who were also invited to explore our facilities and immerse themselves in the exciting initiatives we carry out.

The day started with an overview of the GTI activities highlighting our main achievements. This was followed by a presentation of the Airbus Defence and Space multidomain perspective of multiplatform operations. These initial presentations undoubtedly generated conversation and enthusiasm.

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Then, the proposal for Mariott 2024 and relevant details about the Ascension Project were shared, followed by a proposal for a new project in collaboration with Airbus in 2025. The room was full of energy and excitement for future possibilities.

The representative from NASA presented an analysis of distributed time-critical coordinated events opening exciting opportunities for collaboration on the horizon. Later, Geo-registration was discussed, a crucial topic that sparked interaction and cross-fertilization of ideas.

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The day continued with captivating presentations by talented members of our team, discussing virtual reality research, quality of experience, language modeling and medical imaging. Finally, additional presentations by Airbus members expanded the possibilities for joint collaboration as a result of the previous fruitful discussions.

Finally, the visit was brought to a close with a powerful demonstration of the FVV-Live system. This hands-on demonstration gave our visitors a tangible experience of our advanced technologies and innovative projects.

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We are delighted with the success of the visit and thank all participants for their interest and commitment. We look forward to future collaborations with Airbus and continue to work hard at the forefront of innovation at GTI!