Integrating Analysis of Context and Image Content
AbstractIn some situations of considerable interest, images are found embedded within documents. For example HTML, Word, Powerpoint, Framemaker, LATEX, and other document layout languages all permit...
View ArticleSignStream: A tool for linguistic and computer vision research on...
AbstractResearch on recognition and generation of signed languages and the gestural component of spoken languages has been held back by the unavailability of large-scale linguistically annotated...
View ArticleDatabase Indexing Methods for 3D Hand Pose Estimation
AbstractEstimation of 3D hand pose is useful in many gesture recognition applications, ranging from human-computer interaction to recognition of sign languages. In this paper, 3D hand pose estimation...
View ArticleAccurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning
AbstractGesture spotting is the challenging task of locating the start and end frames of the video stream that correspond to a gesture of interest, while at the same time rejecting non-gesture motion...
View ArticleDetecting Instances of Shape Classes That Exhibit Variable Structure
AbstractThis paper proposes a method for detecting shapes of variable structure in images with clutter. The term “variable structure” means that some shape parts can be repeated an arbitrary number of...
View ArticleTracking with Dynamic Hidden-State Shape Models
AbstractHidden State Shape Models (HSSMs) were previously proposed to represent and detect objects in images that exhibit not just deformation of their shape but also variation in their structure. In...
View ArticleA Similarity Measure for Vision-Based Sign Recognition
AbstractWhen we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looking up the...
View ArticleIntelligent Modification of Colors in Digitized Paintings for Enhancing the...
AbstractColor vision deficiency (CVD) is quite common since 8%–12% of the male and 0.5% of the female European population seem to be color-blind to some extent. Therefore there is great research...
View ArticleA database-based framework for gesture recognition
AbstractGestures are an important modality for human–machine communication. Computer vision modules performing gesture recognition can be important components of intelligent homes, assistive...
View ArticleHand Shape and 3D Pose Estimation Using Depth Data from a Single Cluttered Frame
AbstractThis paper describes a method that, given an input image of a person signing a gesture in a cluttered scene, locates the gesturing arm, automatically detects and segments the hand and finally...
View ArticleA System for Large Vocabulary Sign Search
AbstractA method is presented to help users look up the meaning of an unknown sign from American Sign Language (ASL). The user submits a video of the unknown sign as a query, and the system retrieves...
View ArticleBoosted ranking models: a unifying framework for ranking predictions
AbstractRanking is an important functionality in a diverse array of applications, including web search, similarity-based multimedia retrieval, nearest neighbor classification, and recommendation...
View ArticleFusion of Color and Depth Video for Human Behavior Recognition in an...
AbstractIn this paper we investigate the effects of fusing feature streams extracted from color and depth videos, aiming to monitor the actions of people in an assistive environment. The output of...
View ArticleNon-invasive analysis of sleep patterns via multimodal sensor input
AbstractThe monitoring of sleep patterns is of major importance for various reasons such as the detection and treatment of sleep disorders, the assessment of the effect of different medical conditions...
View ArticleEvaluating 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...
View ArticleThe 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...
View ArticlePrincipal 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...
View ArticleEmbedding-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,...
View ArticleDRESS: 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...
View ArticleMAGNI: 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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