Results 31 to 40 of about 1,365,020 (307)
Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 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
Action tube extraction based 3D-CNN for RGB-D action recognition [PDF]
, 2018 In this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube.
Morros Rubió, Josep Ramon +2 more
core +1 more source
IEEE Open Journal of Signal Processing, 2021 Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superior coding performance, many state-of-the-art block-based compression ...
Hilmi Egilmez +7 more
doaj +1 more source
Multimodal Spatiotemporal Networks for Sign Language Recognition
IEEE Access, 2019 Different from other human behaviors, sign language has the characteristics of limited local motion of upper limb and meticulous hand action. Some sign language gestures are ambiguous in RGB video due to the influence of lighting and background color ...
Shujun Zhang +3 more
doaj +1 more source
Play and Learn: Using Video Games to Train Computer Vision Models [PDF]
, 2016 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
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection [PDF]
International Journal of Computer VisionWith the rapid development of depth sensor, more and more RGB-D videos could be obtained. Identifying the foreground in RGB-D videos is a fundamental and important task.
Jun-Hong Lin +5 more
semanticscholar +1 more source
SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2022 Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features.
Zhengyi Liu +3 more
semanticscholar +1 more source
IEEE Access, 2020 Differing from the traditional chroma subsampling on the YUV image converted from a RGB full-color image, in this paper, we propose a novel and effective chroma subsampling and luma modification (CSLM) method.
Kuo-Liang Chung +2 more
doaj +1 more source
A wavelet-based decomposition method for a robust extraction of pulse rate from video recordings [PDF]
PeerJ, 2018 Background Remote photoplethysmography (rPPG) is a promising optical method for non-contact assessment of pulse rate (PR) from video recordings. In order to implement the method in real-time applications, it is necessary for the rPPG algorithms to be ...
Miha Finžgar, Primož Podržaj
doaj +2 more sources
Predicting Deeper into the Future of Semantic Segmentation [PDF]
, 2017 The ability to predict and therefore to anticipate the future is an important attribute of intelligence. It is also of utmost importance in real-time systems, e.g. in robotics or autonomous driving, which depend on visual scene understanding for decision
Couprie, Camille +4 more
core +5 more sources