Results 31 to 40 of about 125,764 (312)

Non-Instrumental Movement Inhibition (NIMI) differentially suppresses head and thigh movements during screenic engagement: dependence on interaction

open access: yesFrontiers in Psychology, 2016
Background: Estimating engagement levels from postural micromovements has been summarized by some researchers as: increased proximity to the screen is a marker for engagement, while increased postural movement is a signal for disengagement or negative ...
Harry J Witchel   +4 more
doaj   +1 more source

PMOT2023: A Large-Scale Multi-Object Tracking (MOT) Dataset with Application to Phytoplankton Observation

open access: yesJournal of Marine Science and Engineering, 2023
Phytoplankton play a critical role in marine food webs and biogeochemical cycles, and their abundance must be monitored to prevent disasters and improve the marine environment.
Jiaao Yu   +5 more
doaj   +1 more source

High-Speed Videography Reveals How Honeybees Can Turn a Spatial Concept Learning Task Into a Simple Discrimination Task by Stereotyped Flight Movements and Sequential Inspection of Pattern Elements

open access: yesFrontiers in Psychology, 2018
Honey bees display remarkable visual learning abilities, providing insights regarding visual information processing in a miniature brain. It was discovered that bees can solve a task that is generally viewed as spatial concept learning in primates ...
Marie Guiraud   +4 more
doaj   +1 more source

Meta-tracking for video scene understanding [PDF]

open access: yes2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013
This paper presents a novel method to extract dominant motion patterns (MPs) and the main entry/exit areas from a surveillance video. The method first computes motion histograms for each pixel and then converts it into orientation distribution functions (ODFs).
Jodoin, Pierre-Marc   +2 more
openaire   +2 more sources

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

open access: yesFEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui   +10 more
wiley   +1 more source

Convolutional neural network–based person tracking using overhead views

open access: yesInternational Journal of Distributed Sensor Networks, 2020
In video surveillance, person tracking is considered as challenging task. Numerous computer vision, machine and deep learning–based techniques have been developed in recent years.
Misbah Ahmad   +4 more
doaj   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors

open access: yesNature Communications, 2021
The study of naturalistic behaviour using video tracking is challenging. Here the authors develop a system, B-SOiD which allows automated behavioural tracking and segmentation of video of movements tested in mice, flies and humans.
Alexander I. Hsu, Eric A. Yttri
doaj   +1 more source

Group Tracking for Video Monitoring Systems: A Spatio-Temporal Query Processing Approach

open access: yesIEEE Access, 2023
Recently, many video monitoring systems utilize deep learning technologies to recognize locations and trajectories of people in video data. In video monitoring systems, a fast discovery of human groups is an important task for several applications, for ...
Hyunsik Yoon, Dalsu Choi, Yon Dohn Chung
doaj   +1 more source

Home - About - Disclaimer - Privacy