Results 51 to 60 of about 1,856,692 (283)

Deep learning for occluded and multi‐scale pedestrian detection: A review

open access: yesIET Image Processing, 2021
Pedestrian detection, as a research hotspot in the field of computer vision, is widely used in many fields, such as automatic driving, video surveillance, robots and so on.
Yanqiu Xiao   +6 more
doaj   +1 more source

Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications

open access: yes, 2019
Networked video applications, e.g., video conferencing, often suffer from poor visual quality due to unexpected network fluctuation and limited bandwidth.
Cheng, Ming   +5 more
core   +1 more source

Detecting phone‐related pedestrian distracted behaviours via a two‐branch convolutional neural network

open access: yesIET Intelligent Transport Systems, 2021
The distracted phone‐use behaviours among pedestrians, like Texting, Game Playing and Phone Calls, have caused increasing fatalities and injuries. However, the research of phone‐related distracted behaviour by pedestrians has not been systemically ...
Humberto Saenz   +4 more
doaj   +1 more source

Advanced study of video signal processing in low signal to noise environments Semiannual progress report, 1967-1968 [PDF]

open access: yes
Mathematical model for Apollo video signal processing in low signal to noise ratio ...
Carden, F., Davis, G., Osborne, W.
core   +4 more sources

Multimodal Respiratory Rate Estimation From Audio and Video in Emergency Department Patients

open access: yesIEEE Journal of Translational Engineering in Health and Medicine
Given the recent COVID-19 pandemic, there has been a push in the medical community for reliable, remote medical care. The ubiquity of smartphone devices has brought about much interest in the estimation of patient vital signs via an audio or video signal.
John Harvill   +7 more
doaj   +1 more source

Spatial‐temporal slowfast graph convolutional network for skeleton‐based action recognition

open access: yesIET Computer Vision, 2022
In skeleton‐based action recognition, the graph convolutional network (GCN) has achieved great success. Modelling skeleton data in a suitable spatial‐temporal way and designing the adjacency matrix are crucial aspects for GCN‐based methods to capture ...
Zheng Fang   +4 more
doaj   +1 more source

Transmateriality: Toward an Energetics of Signal in Contemporary Mediatic Assemblages [PDF]

open access: yes, 2014
This article focuses on signal as an aspect of modern technicity that precedes—or supersedes—codification. Examining DIY drone videos found on YouTube and the video art of Nam June Paik, among other sources, the article explores how each tests the flow ...
Munster, Anna
core   +3 more sources

Robustness Analysis of Pedestrian Detectors for Surveillance

open access: yesIEEE Access, 2018
To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on.
Yuming Fang   +4 more
doaj   +1 more source

Future broadband access network challenges [PDF]

open access: yes, 2010
Copyright @ 2010 IEEEThe optical and wireless communication systems convergence will activate the potential capacity of photonic technology for providing the expected growth in interactive video, voice communication and data traffic services that are ...
Abdollahi, SR   +3 more
core   +1 more source

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