Carlos Cuevas

Orcid: 0000-0001-9873-8502

According to our database1, Carlos Cuevas authored at least 45 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Automatic highlight detection in videos of martial arts tricking.
Multim. Tools Appl., February, 2024

2023
Soccer line mark segmentation and classification with stochastic watershed transform.
Signal Process. Image Commun., October, 2023

2022
Grass band detection in soccer images for improved image registration.
Signal Process. Image Commun., 2022

UPM-GTI-Face: A dataset for the evaluation of the impact of distance and masks in face detection and recognition systems.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
Soccer line mark segmentation with stochastic watershed transform.
CoRR, 2021

2020
Automatic soccer field of play registration.
Pattern Recognit., 2020

Techniques and applications for soccer video analysis: A survey.
Multim. Tools Appl., 2020

2019

Interactive Learning-Based Retrieval Technique for Visual Lifelogging.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Overview of the ImageCLEFsecurity 2019: File Forgery Detection Tasks.
Proceedings of the Working Notes of CLEF 2019, 2019


2018
Real-time nonparametric background subtraction with tracking-based foreground update.
Pattern Recognit., 2018

Retrieving Events in Life Logging.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Detection of Stationary Foreground Objects Using Multiple Nonparametric Background-Foreground Models on a Finite State Machine.
IEEE Trans. Image Process., 2017

Augmented Reality Tool for the Situational Awareness Improvement of UAV Operators.
Sensors, 2017

2016
Optimal Piecewise Linear Function Approximation for GPU-Based Applications.
IEEE Trans. Cybern., 2016

Labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA.
Comput. Vis. Image Underst., 2016

Detection of stationary foreground objects: A survey.
Comput. Vis. Image Underst., 2016

Fast image decoding for block compressed sensing based encoding by using a modified smooth l0-norm.
Proceedings of the IEEE 6th International Conference on Consumer Electronics - Berlin, 2016

2015
Tool for Semiautomatic Labeling of Moving Objects in Video Sequences: TSLAB.
Sensors, 2015

Robust image registration with global intensity transformation.
Proceedings of the International Symposium on Consumer Electronics, 2015

Unsupervised high-quality soccer field segmentation.
Proceedings of the International Symposium on Consumer Electronics, 2015

Detection of static moving objects using multiple nonparametric background models.
Proceedings of the International Symposium on Consumer Electronics, 2015

A method for shadow and highlight removal in nonparametric moving object detection strategies.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015

Real-time surveillance application by multiple detectors and compressive trackers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015

Statistical moving object detection for mobile devices with camera.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015

2014
High-quality region-based foreground segmentation using a spatial grid of SVM classifiers.
Proceedings of the IEEE International Conference on Consumer Electronics, 2014

Region-based moving object detection using spatially conditioned nonparametric models in a GPU.
Proceedings of the IEEE International Conference on Consumer Electronics, 2014

2013
On the Mahalanobis Distance Classification Criterion for Multidimensional Normal Distributions.
IEEE Trans. Signal Process., 2013

Efficient Moving Object Detection for Lightweight Applications on Smart Cameras.
IEEE Trans. Circuits Syst. Video Technol., 2013

GPU-based implementation of an optimized nonparametric background modeling for real-time moving object detection.
IEEE Trans. Consumer Electron., 2013

Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies.
Image Vis. Comput., 2013

A combined active contours method for segmentation using localization and multiresolution.
Proceedings of the IEEE International Conference on Image Processing, 2013

GPGPU implementation of an improved nonparametric background modeling for moving object detection strategies.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

2012
Temporal segmentation tool for high-quality real-time video editing software.
IEEE Trans. Consumer Electron., 2012

Moving object detection for real-time augmented reality applications in a GPGPU.
IEEE Trans. Consumer Electron., 2012

Versatile Bayesian classifier for moving object detection by non-parametric background-foreground modeling.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

High-quality real-time temporal segmentation tool for video editing software.
Proceedings of the IEEE International Conference on Consumer Electronics, 2012

Moving object detection strategy for augmented-reality applications in a GPGPU by using CUDA.
Proceedings of the IEEE International Conference on Consumer Electronics, 2012

2011
Line segment detection using weighted mean shift procedures on a 2D slice sampling strategy.
Pattern Anal. Appl., 2011

Automatic bandwidth estimation strategy for high-quality non-parametric modeling based moving object detection.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Real-time shot detection based on motion analysis and multiple low-level techniques.
Proceedings of the Visual Information Processing XIX, 2010

Tracking-based non-parametric background-foreground classification in a chromaticity-gradient space.
Proceedings of the International Conference on Image Processing, 2010

2009
Measurement-based reclustering for multiple object tracking with particle filters.
Proceedings of the International Conference on Image Processing, 2009

2008
A new strategy based on adaptive mixture of Gaussians for real-time moving objects segmentation.
Proceedings of the Real-Time Image Processing 2008, San Jose, CA, USA, January 28-29, 2008, 2008


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