UPM Research Award

 

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)

 

                                                                                                                                                                                                                             
 
                                                                   
 
                                                                                                                                                             
 
      

 

 

UPM Research Award

The Universidad Politécnica de Madrid (UPM) has awarded the Research Award to Narciso García, professor, founder, and coordinator of the Grupo de Tratamiento de Imágenes (GTI) at the Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT), in recognition of his career and contributions to the field of telecommunication engineering. This award highlights his key role in training new researchers and developing international standards in digital image and video processing.

Narciso ST 1

 

With over 50 years of experience, he has been a leading figure in his field, driving innovation in computer vision, video compression, immersive environments, and quality of experience assessment. In addition to his research work, he has held significant positions at UPM, including Vice-Rector for International Relations, member of the Social Council, and Director of the Department of Signal, Systems, and Radiocommunications. His influence has extended beyond academia, actively participating in national and international organizations, coordinating the Spanish Commission for the Evaluation of Research Activity (CNEAI) and the Spanish Evaluation Agency (ANEP).

At GTI, we are proud of this well-deserved recognition of his impeccable career and honored to be part of the legacy he has built over the years. His dedication has left an indelible mark on the scientific and academic community, contributing to the university’s progress and the advancement of digital image and video processing.

This award not only acknowledges a career of excellence but also reinforces the importance of research and innovation at UPM. Narciso's work serves as an inspiration for future generations of researchers, demonstrating that passion for knowledge and constant effort can have a lasting impact on science and society.

 

Narciso ST 2