A5071158042- Human Pose and Action Recognition
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
- Industrial Vision Systems and Defect Detection
- Video Analysis and Summarization
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Non-Destructive Testing Techniques
- Ultrasonics and Acoustic Wave Propagation
- Digital Imaging for Blood Diseases
- Hand Gesture Recognition Systems
- Robotics and Sensor-Based Localization
- Sensor Technology and Measurement Systems
- Augmented Reality Applications
- Gait Recognition and Analysis
- Manufacturing Process and Optimization
- Anatomy and Medical Technology
- Robotic Path Planning Algorithms
- Advanced Machining and Optimization Techniques
- Surface Roughness and Optical Measurements
- Welding Techniques and Residual Stresses
- Water Quality Monitoring Technologies
- Breast Cancer Treatment Studies
- Image and Object Detection Techniques
- Neural Networks and Applications
Vicomtech
2018-2020
University of Castilla-La Mancha
2013-2018
Universidad de Cantabria
1999-2002
<h3>Importance</h3> Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency. <h3>Objective</h3> Assess the performance automated at detecting metastases in hematoxylin eosin–stained tissue sections lymph nodes women with breast cancer compare it pathologists' diagnoses a setting. <h3>Design, Setting, Participants</h3> Researcher challenge competition (CAMELYON16) develop solutions for node (November 2015-November...
While action recognition has become an important line of research in computer vision, the particular events such as aggressive behaviors, or fights, been relatively less studied. These tasks may be extremely useful several video surveillance scenarios psychiatric wards, prisons even personal camera smartphones. Their potential usability led to a surge interest developing fight violence detectors. One key aspects this case is efficiency, that is, these methods should computationally fast....
Whereas the action recognition problem has become a hot topic within computer vision, detection of fights or in general aggressive behavior been comparatively less studied. Such capability may be extremely useful some video surveillance scenarios like prisons, psychiatric centers even embedded camera phones. Recent work considered well-known Bag-of-Words framework often used generic for specific fight detection. Under this framework, spatio-temporal features are extracted from sequences and...
Personalized production is moving the progress of industrial automation forward, and demanding new tools for improving decision-making operators. This paper presents a new, projection-based augmented reality system assisting operators during electronic component assembly processes. The describes both hardware software solutions, depicts results obtained usability test with system.
The final product quality control is critical for any manufacturing process. In the case of steel products, there are different inspection methods that able to classify defects, but they usually require human intervention. this context, a deep learning-based automatic defect classifier method surfaces proposed. combines some traditional Machine Learning techniques with Convolutional Neural Network (CNN). Different experiments were carried out in order obtain best parameter setup. To verily...
The goal of this challenge 1 was to evaluate new and existing algorithms for automated detection metastases in hematoxylin eosin (H&E) stained whole-slide images lymph node sections. To end, both slide-based lesion-based evaluation made. Several classification methods were tested including classical deep learning techniques. most efficient one the dataset Bagging Tree classifiers using texture features. In an AUC equal 0.9952 obtained, with 98.13% TP 1.28% FP. result decreases evaluation....
This article describes an ultrasonic identification method which uses array of sensors to recognise object. The special feature this particular set-up is that the object located on a rotating platform in front array. In way, taking advantage signal given by echo from orthogonal face and solving typical problems associated with acoustic dispersion, useful information can be obtained for subsequent treatment. Very good results then using artificial neural network techniques data processing....
In this paper, we propose a new discriminative framework based on Hough forests that enables us to efficiently recognize and localize sequential data in the form of spatio-temporal trajectories. Contrary traditional decision forest-based methods where predictions are made independently its output temporal context, introduce concept "transition", which enforces coherence estimations further enhances discrimination between action classes. We start applying our proposed problem recognizing...
This work describes an inspection and classification system based on ultrasonic sensing that is developed for application to foundry pieces which will later be machined within the automobile industry. In manufacturing of pieces, small defects can sometimes found after casting, although not critical final use piece, affect processes detrimentally, especially in machining tasks. The tries solve this problem automated way applying identification techniques. field, tools appear a powerful...
Object identification techniques are finding increasing use in many industrial applications. A defect recognition method for foundry pieces this field is proposed. The system classifies the and selects apt ones, which will later be machined within automobile industry. inspection of carried out applying ultrasonic sensing. Due to ultrasound properties, type vision very appropriate environments. Starting from signal reflected pieces, treatment data approached two significant steps. First,...
While action detection has become an important line of research in computer vision, the particular events such as violence, aggression or fights, been relatively less studied. These tasks may be extremely useful several video surveillance scenarios psychiatric wards, prisons even camera smartphones. The clear practical applications have led to a surge interest developing violence detectors.