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Article
SoccerNet 2023 challenges results
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into t...
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Chapter and Conference Paper
Residual Stacked RNNs for Action Recognition
Action recognition pipelines that use Recurrent Neural Networks (RNN) are currently 5–10% less accurate than Convolutional Neural Networks (CNN). While most works that use RNNs employ a 2D CNN on each frame to...
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Article
Action detection fusing multiple Kinects and a WIMU: an application to in-home assistive technology for the elderly
We present a vision-inertial system which combines two RGB-Depth devices together with a wearable inertial movement unit in order to detect activities of the daily living. From multi-view videos, we extract de...
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Chapter
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey
Interest in automatic action and gesture recognition has grown considerably in the last few years. This is due in part to the large number of application domains for this type of technology. As in many other c...
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Article
Multi-modal RGB–Depth–Thermal Human Body Segmentation
This work addresses the problem of human body segmentation from multi-modal visual cues as a first stage of automatic human behavior analysis. We propose a novel RGB–depth–thermal dataset along with a multi-mo...
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Chapter and Conference Paper
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results
This paper summarizes the ChaLearn Looking at People 2016 First Impressions challenge data and results obtained by the teams in the first round of the competition. The goal of the competition was to automatica...
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Chapter and Conference Paper
Actions in Context: System for People with Dementia
In the next forty years, the number of people living with dementia is expected to triple. In the last stages, people affected by this disease become dependent. This hinders the autonomy of the patient and has ...
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Chapter and Conference Paper
Static and Dynamic Body Analysis in Physiotherapy and Rehabilitation
World Health Organization estimates that 80 is affected of back pain during his life. In this work, we propose a novel tool for posture and range of movement estimation based on the analysis of 3D information ...
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Chapter and Conference Paper
Posture Analysis and Range of Movement Estimation Using Depth Maps
World Health Organization estimates that 80% of the world population is affected of back pain during his life. Current practices to analyze back problems are expensive, subjective, and invasive. In this work, ...
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Chapter and Conference Paper
User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
We propose an automatic system for user identification and object recognition based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a pixel-based background Gaussian distribution. ...
