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Adaptive Pseudo Text Augmentation for Noise-Robust Text-to-Image Person Re-Identification [PDF]
SensorsText-to-image person re-identification (T2I-ReID) aims to retrieve pedestrians from images/videos based on textual descriptions. However, most methods implicitly assume that training image–text pairs are correctly aligned, while in practice, issues such ...
Lian Xiong +3 more
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Dynamic Multi-Behaviour, Orientation-Invariant Re-Identification of Holstein-Friesian Cattle [PDF]
SensorsTo perform reliable animal re-identification, most available algorithms require standardised animal poses. However, this lack of versatility prevents widespread application of these algorithms in behavioural research and commercial environments.
Maarten Perneel +3 more
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Spatially Time-Based Robust Tracking and Re-Identification of Kindergarten Students: A Hybrid Deep Learning Framework Combining YOLOv8n and Vision Transformer (ViT) [PDF]
Journal of ImagingDetection, tracking, and re-identification (ReID) of children wearing similar uniforms in a kindergarten environment is a very complex challenge for computer vision.
Md. Rahatul Islam +3 more
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Multi‐granularity re‐ranking for visible‐infrared person re‐identification
CAAI Transactions on Intelligence Technology, 2023 Visible‐infrared person re‐identification (VI‐ReID) is a supplementary task of single‐modality re‐identification, which makes up for the defect of conventional re‐identification under insufficient illumination. It is more challenging than single‐modality
Yadi Wang +3 more
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Sensors, 2022 The increase in security threats and a huge demand for smart transportation applications for vehicle identification and tracking with multiple non-overlapping cameras have gained a lot of attention.
Lesole Kalake, Wanggen Wan, Yanqiu Dong
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Sensors, 2022 Surveillance video has been widely used in business, security, search, and other fields. Identifying and locating specific pedestrians in surveillance video has an important application value in criminal investigation, search and rescue, etc.
Mingwei Lei +6 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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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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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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