26 Result(s)
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Article
Open AccessAn Outlook into the Future of Egocentric Vision
What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with outward facing cameras and digi...
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Article
Open AccessVisual Object Tracking in First Person Vision
The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can provide useful information t...
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Article
Open AccessRescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M frames, 90K actions in 700 varia...
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Chapter and Conference Paper
Learning to Rank Food Images
In the last decade food understanding has become a very attractive topic. This has implied the growing demand of Computer Vision algorithms for automatic diet assessment to treat or prevent food related diseases
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Chapter and Conference Paper
Prediction of Social Image Popularity Dynamics
This paper introduces the new challenge of forecasting the engagement score reached by social images over time
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Chapter and Conference Paper
Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation
Current action anticipation approaches often neglect the intrinsic uncertainty of future predictions when loss functions or evaluation measures are designed. The uncertainty of future observations is especiall...
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Chapter and Conference Paper
Scaling Egocentric Vision: The Dataset
First-person vision is gaining interest as it offers a unique viewpoint on people’s interaction with objects, their attention, and even intention. However, progress in this challenging domain has been relative...
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Chapter and Conference Paper
On the Estimation of Children’s Poses
Deep Learning architectures have obtained significant results for human pose estimation in the last years. Studies of the state of the art usually focus their attention on the estimation of the human pose of a...
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Chapter and Conference Paper
GRAPHJ: A Forensics Tool for Handwriting Analysis
Handwriting analysis is a standard forensics practice to assess the identity of a person from written documents. Forensic document examiners consider different features related to the motion and pressure of th...
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Chapter and Conference Paper
A System for Autonomous Landing of a UAV on a Moving Vehicle
This paper describes the approach employed to implement the autonomous landing of an Unmanned Aerial Vehicle (UAV) upon a moving ground vehicle. We consider an application scenario in which a target, made of a...
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Chapter and Conference Paper
A Multimedia Database for Automatic Meal Assessment Systems
A healthy diet is crucial for maintaining overall health and for controlling food-related chronic diseases, like diabetes and obesity. Proper diet management however, relies on the rather challenging task of ...
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Chapter and Conference Paper
Recognizing Context for Privacy Preserving of First Person Vision Image Sequences
The constant increasing evolution of life-logging wearable devices, as well as the fast grow of their market, has introduced relevant changes in the acquisition, storage and automatic understanding of images a...
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Chapter and Conference Paper
Egocentric Vision for Visual Market Basket Analysis
This paper introduces a new application scenario for egocentric vision: Visual Market Basket Analysis (VMBA). The main goal in the proposed application domain is the understanding of customers behaviours in re...
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Chapter and Conference Paper
Temporal Segmentation of Egocentric Videos to Highlight Personal Locations of Interest
With the increasing availability of wearable cameras, the acquisition of egocentric videos is becoming common in many scenarios. However, the absence of explicit structure in such videos (e.g., video chapters)...
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Chapter and Conference Paper
On the Exploitation of One Class Classification to Distinguish Food Vs Non-Food Images
In the last years automatic food image understanding has become an important research challenge for the society. This is because of the serious impact that food intake has in human life. Food recognition engin...
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Chapter and Conference Paper
Distortion Adaptive Descriptors: Extending Gradient-Based Descriptors to Wide Angle Images
Gradient-based descriptors have proven successful in a wide variety of applications. Their standard implementations usually assume that the input images have been acquired using classic perspective cameras. In...
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Chapter and Conference Paper
Food Recognition Using Consensus Vocabularies
Food recognition is an interesting and challenging problem with applications in medical, social and anthropological research areas. The high variability of food images makes the recognition task difficult for ...
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Chapter and Conference Paper
An Experimental Analysis of Saliency Detection with Respect to Three Saliency Levels
Saliency detection is a useful tool for video-based, real-time Computer Vision applications. It allows to select which locations of the scene are the most relevant and has been used in a number of related assi...
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Chapter and Conference Paper
Personal Shop** Assistance and Navigator System for Visually Impaired People
In this paper, a personal assistant and navigator system for visually impaired people will be described. The showcase presented intends to demonstrate how partially sighted people could be aided by the technol...
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Chapter and Conference Paper
A Benchmark Dataset to Study the Representation of Food Images
It is well-known that people love food. However, an insane diet can cause problems in the general health of the people. Since health is strictly linked to the diet, advanced computer vision tools to recognize ...
