Results 31 to 40 of about 1,409,257 (215)
A Systematic Approach for Developing a Robust Artwork Recognition Framework Using Smartphone Cameras
Algorithms, 2022 The provision of information encourages people to visit cultural sites more often. Exploiting the great potential of using smartphone cameras and egocentric vision, we describe the development of a robust artwork recognition algorithm to assist users ...
Zenonas Theodosiou +3 more
doaj +1 more source
Hotspots detection for machine operation in egocentric vision [PDF]
2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017 This paper introduces a novel idea of unsupervised hotspots detection from first person vision (FPV) records. The purpose is to gather typical patterns of machine operations based on touching or manipulating those hotspots and summarize the patterns as guides for operations such as online operating manuals.
Longfei Chen +4 more
openaire +4 more sources
Gaze-Informed Egocentric Action Recognition for Memory Aid Systems
IEEE Access, 2018 Egocentric action recognition has been intensively studied in the fields of computer vision and clinical science with applications in pervasive health-care.
Zheming Zuo +4 more
doaj +1 more source
Sensors, 2020 Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei +4 more
doaj +1 more source
Predicting the Future from First Person (Egocentric) Vision: A Survey [PDF]
Computer Vision and Image Understanding, 2021 Egocentric videos can bring a lot of information about how humans perceive the world and interact with the environment, which can be beneficial for the analysis of human behaviour. The research in egocentric video analysis is developing rapidly thanks to
Ivan Rodin +3 more
semanticscholar +1 more source
Vietnam Journal of Computer Science, 2023 In this paper, we present an unified framework for understanding hand action from the first-person video. The proposed framework composes two main components. The first component estimates three-dimensional (3D) hand joints from RGB images.
Viet-Duc Le +6 more
doaj +1 more source
EgoPressure: A Dataset for Hand Pressure and Pose Estimation in Egocentric Vision [PDF]
Computer Vision and Pattern RecognitionTouch contact and pressure are essential for understanding how humans interact with objects and offer insights that benefit applications in mixed reality and robotics.
Yiming Zhao +4 more
semanticscholar +1 more source
Understanding social relationships in egocentric vision
Pattern Recognition, 2015 The understanding of mutual people interaction is a key component for recognizing people social behavior, but it strongly relies on a personal point of view resulting difficult to be a-priori modeled. We propose the adoption of the unique head mounted cameras first person perspective (ego-vision) to promptly detect people interaction in different ...
ALLETTO, STEFANO +3 more
openaire +2 more sources
YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos
Sensors, 2023 Hand detection and classification is a very important pre-processing step in building applications based on three-dimensional (3D) hand pose estimation and hand activity recognition.
Hung-Cuong Nguyen +3 more
doaj +1 more source
TouchInsight: Uncertainty-aware Rapid Touch and Text Input for Mixed Reality from Egocentric Vision [PDF]
ACM Symposium on User Interface Software and TechnologyWhile passive surfaces offer numerous benefits for interaction in mixed reality, reliably detecting touch input solely from head-mounted cameras has been a long-standing challenge.
Paul Streli +5 more
semanticscholar +1 more source