Computer Vision, Imaging and Computer Graphics Theory and Applications
16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers
Article
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...
Book and Conference Proceedings
16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers
Article
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...
Book and Conference Proceedings
17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers
Book and Conference Proceedings
15th International Joint Conference, VISIGRAPP 2020 Valletta, Malta, February 27–29, 2020, Revised Selected Papers
Book and Conference Proceedings
17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXX
Article
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...
Chapter and Conference Paper
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
Chapter and Conference Paper
This paper introduces the new challenge of forecasting the engagement score reached by social images over time
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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 ...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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...
Chapter and Conference Paper
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)...
Book and Conference Proceedings
First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers
Chapter and Conference Paper
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...