Results 11 to 20 of about 103,551 (264)
Generating Bird’s Eye View from Egocentric RGB Videos [PDF]
In this paper, we present a method for generating bird’s eye video from egocentric RGB videos. Working with egocentric views is tricky since such the view is highly warped and prone to occlusions. On the other hand, a bird’s eye view has a consistent scaling in at least the two dimensions it shows.
Vanita Jain +6 more
openaire +1 more source
Temporally Consistent Motion Segmentation From RGB‐D Video [PDF]
AbstractTemporally consistent motion segmentation from RGB‐D videos is challenging because of the limitations of current RGB‐D sensors. We formulate segmentation as a motion assignment problem, where a motion is a sequence of rigid transformations through all frames of the input.
Bertholet, Peter +2 more
openaire +2 more sources
Efficient Depth Data Coding Method Based on Plane Modeling for Intra Prediction
In this article, we propose a depth data coding method by plane modeling. The plane modeling is a prediction method based on a plane estimation from depth pixels in a block.
Dong-Seok Lee +2 more
doaj +1 more source
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
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
Neural Head Avatars from Monocular RGB Videos
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]
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
Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning
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
Play and Learn: Using Video Games to Train Computer Vision Models [PDF]
Video games are a compelling source of annotated data as they can readily provide fine-grained groundtruth for diverse tasks. However, it is not clear whether the synthetically generated data has enough resemblance to the real-world images to improve the
Little, James J. +2 more
core +1 more source
Radar and RGB-depth sensors for fall detection: a review [PDF]
This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
core +1 more source

