IEEE AccessWildlife re-identification (Re-ID) techniques are key to animal tracking and preservation. However, the performance of current deep learning methods is unsatisfactory in cross-camera scenarios, especially in terms of mean average precision (mAP).
Zitong Li +5 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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Sparse and Low-Rank Joint Dictionary Learning for Person Re-Identification
Mathematics, 2022 In the past decade, the scientific community has become increasingly interested in the re-identification of people. It is still a challenging problem due to its low-quality images; occlusion between objects; and huge changes in lighting, viewpoint and ...
Jun Sun, Lingchen Kong, Biao Qu
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Discussion on in-depth application of visual intelligence technology in smart construction sites
You-qi chuyunObjective The challenging construction site environment for oil and gas storage and transportation projects, with high operational risk and complex personnel composition, poses significant difficulties for safety management.
Ting FAN
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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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Edge Computing Resource Management for Cross-Camera Video Analytics: Workload and Model Adaptation
IEEE AccessMulti-camera systems are now widely employed across numerous domains. The exponential growth of deep learning has simplified the implementation of advanced video analytics applications.
Huan-Ting Chen, Yao Chiang, Hung-Yu Wei
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On the Use of Simple Geometric Descriptors Provided by RGB-D Sensors for Re-Identification
Sensors, 2013 The re-identification problem has been commonly accomplished using appearance features based on salient points and color information. In this paper, we focus on the possibilities that simple geometric features obtained from depth images captured with RGB-
Daniel Hernández-Sosa +2 more
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Support Neighbor Loss for Person Re-Identification
, 2018 Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming +4 more
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A Pyramidal Feature Fusion Model on Swimming Crab Portunus trituberculatus Re-identification
Frontiers in Marine Science, 2022 Swimming crab Portunus trituberculatus is a vital crab species in coastal areas of China. In this study, an individual re-identification method based on Pyramidal Feature Fusion Model (PFFM) for P. trituberculatus was proposed.
Kejie Zhang +7 more
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PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
, 2017 Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-identification over the last decade, it remains a challenging task because ...
Cho, Yeong-Jun, Yoon, Kuk-Jin
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