Results 21 to 30 of about 1,365,020 (307)
International Journal of Advanced Studies, 2023 The algorithms of pre-trip control of buses’ technical condition under the conditions of hypothetical application of an automated system based on video registration in ATP are considered.
Igor M. Blyankinstein +1 more
doaj +1 more source
Machine learning with different digital images classification in laparoscopic surgery
Journal of Education, Health and Sport, 2022 The evaluation of the effectiveness of the automatic computer diagnostic (ACD) systems developed based on two classifiers – HAAR features cascade and AdaBoost for the laparoscopic diagnostics of appendicitis and ovarian cysts in women with chronic ...
M. Bayazitov +4 more
doaj +1 more source
Electronics, 2020 In this paper, we propose an integrated action classification and regression learning framework for the fine-grained human action quality assessment of RGB videos.
Qing Lei +4 more
semanticscholar +1 more source
Neural Head Avatars from Monocular RGB Videos
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We present Neural Head Avatars, a novel neural representation that explicitly models the surface geometry and appearance of an animatable human avatar that can be used for teleconferencing in AR/VR or other applications in the movie or games industry that rely on a digital human.
Grassal, P. +5 more
openaire +3 more sources
Unsupervised Learning of Long-Term Motion Dynamics for Videos [PDF]
, 2017 We present an unsupervised representation learning approach that compactly encodes the motion dependencies in videos. Given a pair of images from a video clip, our framework learns to predict the long-term 3D motions.
Alahi, Alexandre +4 more
core +2 more sources
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data [PDF]
International Conference on Machine Learning and Applications, 2018 Human activity recognition based on video streams has received numerous attentions in recent years. Due to lack of depth information, RGB video based activity recognition performs poorly compared to RGB-D video based solutions.
Krishanu Sarker +3 more
semanticscholar +1 more source
Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning
Sensors, 2021 Behavior recognition has applications in automatic crime monitoring, automatic sports video analysis, and context awareness of so-called silver robots. In this study, we employ deep learning to recognize behavior based on body and hand–object interaction
Yeong-Hyeon Byeon +3 more
doaj +1 more source
RGB-D datasets using microsoft kinect or similar sensors: a survey [PDF]
, 2015 RGB-D data has turned out to be a very useful representation of an indoor scene for solving fundamental computer vision problems. It takes the advantages of the color image that provides appearance information of an object and also the depth image that ...
Galili +7 more
core +2 more sources
Segmentation and 3D Reconstruction of NON-RIGID Shape from RGB Video
International Conference on Information Photonics, 2020 In this paper we propose a unsupervised and unified approach to simultaneously recover time-varying 3D shape, camera motion, and temporal clustering into deformations, all of them, from partial 2D point tracks in a RGB video and without assuming any pre ...
Antonio Agudo
semanticscholar +1 more source
Self-Supervised RGB-NIR Fusion Video Vision Transformer Framework for rPPG Estimation
IEEE Transactions on Instrumentation and Measurement, 2022 Remote photoplethysmography (rPPG) is a technology that can estimate noncontact heart rate (HR) using facial videos. Estimating rPPG signals requires low cost, and thus, it is widely used for noncontact health monitoring.
Soyeon Park +2 more
semanticscholar +1 more source