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Robot-Driven Calibration and Accuracy Assessment of Meta Quest 3 Inside-Out Tracking Using a TECHMAN TM5-900 Collaborative Robot. [PDF]
Sensors (Basel)Lopez-Xarbau J +4 more
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Evaluating hand hygiene compliance: a digital-based approach for assessing healthcare worker practices in the teaching hospitals in Malaysia. [PDF]
Antimicrob Resist Infect ControlLau MY +6 more
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Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition, 2002
This paper describes a system which uses multiple visual processes to detect and track hands for gesture recognition and human-computer interaction. This system is based on an architecture in which a supervisor selects and activates visual processes.
Jérôme Martin +2 more
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This paper describes a system which uses multiple visual processes to detect and track hands for gesture recognition and human-computer interaction. This system is based on an architecture in which a supervisor selects and activates visual processes.
Jérôme Martin +2 more
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2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2009
In this paper we present an approach for animating a virtual hand model with the animation data extracting from hand tracking results. We track the hand by using particle filters and deformable contour templates with a web camera; then we extend the 2D tracking results into 3D animation data using inverse kinematics method; finally, local frame based ...
Jituo Li +3 more
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In this paper we present an approach for animating a virtual hand model with the animation data extracting from hand tracking results. We track the hand by using particle filters and deformable contour templates with a web camera; then we extend the 2D tracking results into 3D animation data using inverse kinematics method; finally, local frame based ...
Jituo Li +3 more
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Synthetic Hands Generator for RGB Hand Tracking
TENCON 2018 - 2018 IEEE Region 10 Conference, 2018In this study, we addressed the challenging problem of 2D hand-pose tracking based on an RGB-only sequence by using a hand data generator. For training various deep networks on hand-pose tracking, we propose a synthetic hand generator based on an application. Our generator could be combined with a kinematic hand model to generalize well to unseen data.
Dongseok Yang +3 more
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Hand Tracking with Flocks of Features
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005Tracking hands in live video is a challenging task: the hand appearance can change too rapidly for appearance-based trackers to work, and color-based trackers (that do not rely on geometry) have to make limiting assumptions about the background color.
Mathias Kölsch, Matthew Turk 0001
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Tracking a hand manipulating an object
2009 IEEE 12th International Conference on Computer Vision, 2009We present a method for tracking a hand while it is interacting with an object. This setting is arguably the one where hand-tracking has most practical relevance, but poses significant additional challenges: strong occlusions by the object as well as self-occlusions are the norm, and classical anatomical constraints need to be softened due to the ...
Henning Hamer +3 more
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Hand tracking for behaviour understanding
Image and Vision Computing, 2002Abstract A real-time computer vision system is described for tracking hands thus enabling behavioural events to be interpreted. Forearms are tracked to provide structural context, enabling mutual occlusion, which occurs when hands cross one another, to be handled robustly. No prior skin colour models are used.
Gordon McAllister +2 more
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2006
This paper proposes a novel real-time hand tracking algorithm in the presence of occlusion. For this purpose, we construct a limb model and maintain the model obtained from ARKLT methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(KLT) features, respectively.
Hye-Jin Kim 0001 +2 more
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This paper proposes a novel real-time hand tracking algorithm in the presence of occlusion. For this purpose, we construct a limb model and maintain the model obtained from ARKLT methods with respect to second-order auto-regression model and Kanade-Lucas-Tomasi(KLT) features, respectively.
Hye-Jin Kim 0001 +2 more
openaire +1 more source