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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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Data Re-Identification: Societal Safeguards [PDF]
Science, 2013 The Report by M. Gymrek et al. ("Identifying personal genomes by surname inference," 18 January, p. [321][1]) demonstrates that DNA samples can be combined with surname and other data to re-identify seemingly anonymous records. The study adds to the literature showing that large, publicly available data sets can be leveraged to infer personal ...
Russ B, Altman +4 more
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Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]
, 2015 Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang +3 more
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Вестник Мининского университета, 2023 Introduction. The purpose of this article is to argue dialogue philosophy and pedagogy, when these both knowledge decide problem of a person’ self-determination in social institute of education. Materials and Methods.
G. I. Petrova
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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
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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
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Vehicle Re-identification in Context [PDF]
, 2019 Existing vehicle re-identification (re-id) evaluation benchmarks consider strongly artificial test scenarios by assuming the availability of high quality images and fine-grained appearance at an almost constant image scale, reminiscent to images required for Automatic Number Plate Recognition, e.g. VeRi-776.
Kanacı, Aytaç +2 more
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SealID: Saimaa Ringed Seal Re-Identification Dataset
Sensors, 2022 Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. The massive data volumes call for automatic methods to solve various tasks related to population monitoring, such as the re ...
Ekaterina Nepovinnykh +6 more
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Semantics-Aligned Representation Learning for Person Re-identification
, 2020 Person re-identification (reID) aims to match person images to retrieve the ones with the same identity. This is a challenging task, as the images to be matched are generally semantically misaligned due to the diversity of human poses and capture ...
Chen, Zhibo +4 more
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Multiple Object Tracking Using Re-Identification Model with Attention Module
Applied Sciences, 2023 Multi-object tracking (MOT) has gained significant attention in computer vision due to its wide range of applications. Specifically, detection-based trackers have shown high performance in MOT, but they tend to fail in occlusive scenarios such as the ...
Woo-Jin Ahn +4 more
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