Results 91 to 100 of about 572,432 (293)

Detic-Track: Robust Detection and Tracking of Objects in Video

open access: yes2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2022
The automatic detection and tracking of objects in a video is crucial for many video understanding tasks. We propose a novel deep learning based algorithm for object detection and tracking, which is able to detect more than 1,000 object classes and tracks them robustly, even for challenging content. The robustness of the tracking is due to the usage of
openaire   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Markerless Motion Capture in the Crowd [PDF]

open access: yes, 2012
This work uses crowdsourcing to obtain motion capture data from video recordings. The data is obtained by information workers who click repeatedly to indicate body configurations in the frames of a video, resulting in a model of 2D structure over time ...
Bregler, Christoph   +2 more
core  

Memory Based Online Learning of Deep Representations from Video Streams

open access: yes, 2017
We present a novel online unsupervised method for face identity learning from video streams. The method exploits deep face descriptors together with a memory based learning mechanism that takes advantage of the temporal coherence of visual data ...
Bartoli, Federico   +3 more
core   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

open access: yesAdvanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker   +5 more
wiley   +1 more source

Optimization of Wireless Video Surveillance System for Smart Campus Based on Internet of Things

open access: yesIEEE Access, 2020
In order to strengthen school security and build a wireless smart campus, this article optimizes the existing wireless video surveillance system based on the Internet of Things.
Zhiqing Zhou, Heng Yu, Hesheng Shi
doaj   +1 more source

Labeled Tracking Videos and Scripts

open access: yes, 2023
The files contained here are samples of Matlab scripts used for video labelling and analysis, as well as videos generated by automated labelling of tunnels based on ant motion detection. These were used for the work detailed in the manuscript "Agitated ants: regulation and self-organization of incipient nest excavation via collisional cues" (doi 10 ...
Avinery, Ram   +6 more
openaire   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

open access: yesAdvanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker   +16 more
wiley   +1 more source

Recurrent Autoregressive Networks for Online Multi-Object Tracking

open access: yes, 2018
The main challenge of online multi-object tracking is to reliably associate object trajectories with detections in each video frame based on their tracking history.
Fang, Kuan   +3 more
core   +1 more source

Atomically Revealing Bulk Point Defect Dynamics in Hydrogen‐Driven γ‐Fe2O3 → Fe3O4 → FeO Transformation

open access: yesAdvanced Functional Materials, EarlyView.
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu   +14 more
wiley   +1 more source

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