Results 31 to 40 of about 745,987 (299)
Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning
IEEE Access, 2019 Individual pig tracking is key to stepping away from group-level treatment and towards individual pig care. By doing so we can monitor individual pig behaviour changes over time and use these as indicators of health and well-being, which, in turn, will ...
Jake Cowton +2 more
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A Privacy Attack on Multiple Dynamic Match-key based Privacy-Preserving Record Linkage
International Journal of Population Data Science, 2020 Introduction Over the last decade, the demand for linking records about people across databases has increased in various domains. Privacy challenges associated with linking sensitive information led to the development of privacy-preserving record ...
Anushka Vidanage +3 more
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Quantifying Privacy Risks for Continuous Trait Data
Applied Sciences, 2022 In the context of life sciences, the rapid biotechnical development leads to the creation of huge amounts of biological data. The use of such data naturally brings concerns on human genetic privacy breaches, which also discourage biological data sharing.
Muqing He +5 more
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Sensing Image Regions for Enhancing Accuracy in People Re-identification [PDF]
Iranica Journal of Energy and Environment, 2022 Video surveillance systems are widely used in the public and private sectors for maintaining security and healthcare purposes. Performance of surveillance systems directly depends on their accuracy in re-identification.
H. Hassanpour, Z. Mortezaie, A. Beghdadi
doaj +1 more source
Person Re-Identification by Saliency Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Human eyes can recognize person identities based on small salient regions, i.e. human saliency is distinctive and reliable in pedestrian matching across disjoint camera views. However, such valuable information is often hidden when computing similarities of pedestrian images with existing approaches.
Rui Zhao, Wanli Oyang, Xiaogang Wang
openaire +4 more sources
Applied Sciences, 2023 Vehicle trajectory data play an important role in autonomous driving and intelligent traffic control. With the widespread deployment of roadside sensors, such as cameras and millimeter-wave radar, it is possible to obtain full-sample vehicle trajectories
Guimin Su +6 more
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Re-Identification in Differentially Private Incomplete Datasets
IEEE Open Journal of the Computer Society, 2022 Efforts to counter COVID-19 reaffirmed the importance of rich medical, behavioral, and sociological data. To make data available to many researchers who can conduct statistical analyses and machine learning, personally identifiable information must be ...
Yuichi Sei +2 more
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Deep visual Re-identification with confidence
Transportation Research Part C: Emerging Technologies, 2021 Transportation systems often rely on understanding the flow of vehicles or pedestrian. From traffic monitoring at the city scale, to commuters in train terminals, recent progress in sensing technology make it possible to use cameras to better understand the demand, i.e., better track moving agents (e.g., vehicles and pedestrians).
George Adaimi +2 more
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Unifying Person and Vehicle Re-Identification
IEEE Access, 2020 Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be ...
Daniel Organisciak +4 more
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Re-identification by Covariance Descriptors [PDF]
, 2014 This chapter addresses the problem of appearance matching, while employing the covariance descriptor. We tackle the extremely challenging case in which the same non-rigid object has to be matched across disjoint camera views. Covariance statistics averaged over a Riemannian manifold are fundamental for designing appearance models invariant to camera ...
Bak, Slawomir, Bremond, François
openaire +3 more sources