Semantic recognition of human-object interactions via Gaussian-based elliptical modeling and pixel-level labeling
Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-
based applications, requires in-depth and meaningful details from image sequences …
based applications, requires in-depth and meaningful details from image sequences …
A systematic literature review of intent sensing for control of medical devices
J Russell, J Bergmann - IEEE Transactions on Medical …, 2021 - ieeexplore.ieee.org
The usefulness of medical devices, which require user input, is often limited by the control
schemes that operate them. The recognition of user intent could enable far more intuitive …
schemes that operate them. The recognition of user intent could enable far more intuitive …
Automated parts-based model for recognizing human–object interactions from aerial imagery with fully convolutional network
Advanced aerial images have led to the development of improved human–object interaction
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
recognition (HOI) methods for usage in surveillance, security, and public monitoring …
A graph-based approach to recognizing complex human object interactions in sequential data
Featured Application The proposed methodology is a computer vision application for
monitoring and recognizing human–object interactions and has been evaluated over three …
monitoring and recognizing human–object interactions and has been evaluated over three …
Highway traffic surveillance over uav dataset via blob detection and histogram of gradient
AM Qureshi, AH Butt, A Jalal - 2023 4th international …, 2023 - ieeexplore.ieee.org
Systems for traffic monitoring often rely on local platforms. Aerial images provide the
flexibility to sense the vehicle location and movements with appropriate resolution over a …
flexibility to sense the vehicle location and movements with appropriate resolution over a …
[PDF][PDF] An Intelligent framework for recognizing social human-object interactions
Human object interaction (HOI) recognition plays an important role in the designing of
surveillance and monitoring systems for healthcare, sports, education, and public areas. It …
surveillance and monitoring systems for healthcare, sports, education, and public areas. It …
A comparison on visual prediction models for MAMO (multi activity-multi object) recognition using deep learning
Multi activity-multi object recognition (MAMO) is a challenging task in visual systems for
monitoring, recognizing and alerting in various public places, such as universities, hospitals …
monitoring, recognizing and alerting in various public places, such as universities, hospitals …
Human-based interaction analysis via automated key point detection and neural network model
The human interaction with an object is one of the most challenging domains in real-life
applications, such as smart homes, surveillance, medical, education, safety-based …
applications, such as smart homes, surveillance, medical, education, safety-based …
An industrial assistance system with manual assembly step recognition in virtual reality
L Eversberg, P Grosenick, M Meusel… - … on Applied Artificial …, 2021 - ieeexplore.ieee.org
In the era of Industry 4.0, worker assistance systems are becoming more and more
important. In order to assist shop floor workers in manual assembly tasks, we implemented …
important. In order to assist shop floor workers in manual assembly tasks, we implemented …
Intent sensing for assistive technology
J Russell - 2023 - ora.ox.ac.uk
This thesis aims to develop systems for intent sensing–the measurement and prediction of
what it is that a user wants to happen. Being able to sense intent could be hugely beneficial …
what it is that a user wants to happen. Being able to sense intent could be hugely beneficial …