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Evaluating Depth-Based Computer Vision Methods for Fall Detection under...

AbstractFalls are one of the major risks for seniors living alone at home. Fall detection has been widely studied in the computer vision community, especially since the advent of affordable depth...

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The ChaLearn gesture dataset (CGD 2011)

AbstractThis paper describes the data used in the ChaLearn gesture challenges that took place in 2011/2012, whose results were discussed at the CVPR 2012 and ICPR 2012 conferences. The task can be...

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Principal motion components for one-shot gesture recognition

AbstractThis paper introduces principal motion components (PMC), a new method for one-shot gesture recognition. In the considered scenario a single training video is available for each gesture to be...

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Embedding-based subsequence matching with gaps–range–tolerances: a...

AbstractWe present a subsequence matching framework that allows for gaps in both query and target sequences, employs variable matching tolerance efficiently tuned for each query and target sequence,...

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DRESS: dimensionality reduction for efficient sequence search

AbstractSimilarity search in large sequence databases is a problem ubiquitous in a wide range of application domains, including searching biological sequences. In this paper we focus on protein and DNA...

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MAGNI: A Real-Time Robot-Aided Game-Based Tele-Rehabilitation System

AbstractDuring the last two decades, robotic rehabilitation has become widespread, particularly for upper limb physical rehabilitation. Major findings prove that the efficacy of robot-assisted...

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Pre-processing of Video Streams for Extracting Queryable Representation of...

AbstractAutomating video stream processing for inferring situations of interest has been an ongoing challenge. This problem is currently exacerbated by the volume of surveillance/monitoring videos...

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APSEN: Pre-screening Tool for Sleep Apnea in a Home Environment

AbstractThis paper describes the APSEN system, a pre-screening tool for detecting sleep apnea in a home environment. The system was designed and evaluated in two parts; the apnea detection using SpO2...

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Challenges in Multi-modal Gesture Recognition

AbstractThis paper surveys the state of the art on multimodal gesture recognition and introduces the JMLR special topic on gesture recognition 2011–2015. We began right at the start of the...

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Gesture Recognition

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Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze

AbstractHaze can degrade the visibility and the image quality drastically, thus degrading the performance of computer vision tasks such as object detection. Single image dehazing is a challenging and...

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Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation...

AbstractFine-Grained Visual Categorization (FGVC) is a challenging topic in computer vision. It is a problem characterized by large intra-class differences and subtle inter-class differences. In this...

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Gesture Recognition

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Gesture Recognition

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Adaptive Feature Norm for Unsupervised Subdomain Adaptation

AbstractIn many real-world problems, obtaining labeled data for a specific machine learning task is expensive. Unsupervised Domain Adaptation (UDA) aims at learning a good predictive model for the...

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Advances in Visual Computing

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Advances in Visual Computing

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Cross Your Body: a Cognitive Assessment System for Children

AbstractWhile many action recognition techniques have great success on public benchmarks, such performance is not necessarily replicated in real-world scenarios, where the data comes from specific...

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Semi Automatic Hand Pose Annotation Using a Single Depth Camera

AbstractThis paper addresses the problem of 3D hand pose annotation using a single depth camera. While hand pose annotations are critically important for training deep neural networks, creating such...

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2D Fingertip Localization on Depth Videos Using Paired Video-to-Video...

AbstractWe propose a two-stage pipeline and formulate 2D hand keypoint localization as a problem of conditional video generation. The goal is to learn a mapping function from an input depth video in...

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