Results 31 to 40 of about 791,751 (262)
Dynamic Weighting Network for Person Re-Identification
Sensors, 2023 Recently, hybrid Convolution-Transformer architectures have become popular due to their ability to capture both local and global image features and the advantage of lower computational cost over pure Transformer models.
Guang Li +3 more
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Illumination-Adaptive Person Re-Identification [PDF]
IEEE Transactions on Multimedia, 2020 Accepted by ...
Zelong Zeng +5 more
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Rethinking Multi-Object Tracking Based on Re-Identification and Appearance Model Management
IEEE Access, 2023 Conventional multi-object tracking (MOT) methods often fail to track objects that repeatedly disappear and reappear in the scene due to occlusion or moving off the screen.
Yeong-Jun Cho, Dohyung Kim
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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 0001 +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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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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Fine-Grained Re-Identification
CoRR, 2020 Research into the task of re-identification (ReID) is picking up momentum in computer vision for its many use cases and zero-shot learning nature. This paper proposes a computationally efficient fine-grained ReID model, FGReID, which is among the first models to unify image and video ReID while keeping the number of training parameters minimal.
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Attention driven person re-identification [PDF]
Pattern Recognition, 2019 Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the multifarious local and global features are still not fully exploited by either ignoring the interplay between whole-body images and body-part images or missing in-depth ...
Fan Yang 0053 +5 more
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Making Animal Re-Identification Accessible: A Web-Based Giraffe ID System for Zoos
InformationComputer vision and machine learning have accelerated the automation of animal re-identification pipelines used in conservation programs worldwide. For species with distinctive markings, such as the spot patterns of giraffes, these automated methods are ...
Nipuna Lakshitha Saputhanthrige Don +4 more
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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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