Results 31 to 40 of about 6,095,709 (227)
Multi-Level Joint Feature Learning for Person Re-Identification
Algorithms, 2020 In person re-identification, extracting image features is an important step when retrieving pedestrian images. Most of the current methods only extract global features or local features of pedestrian images.
Shaojun Wu, Ling Gao
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MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification [PDF]
ACM Multimedia, 2021 The RGB-infrared cross-modality person re-identification (ReID) task aims to recognize the images of the same identity between the visible modality and the infrared modality.
Yajun Gao +6 more
semanticscholar +1 more source
Development of alexithymic personality features
World Journal of Psychiatry, 2014 The purpose of this paper is to review the current literature regarding the development of alexithymic personality features. Modern brain imaging technologies provide interesting data on the associations of alexithymia with different aberrations in brain function related to emotion regulation; however, the development of these deviations is poorly ...
Karukivi, M, Saarijärvi S
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Graph-Based Local Feature Adaptation for Cross-Domain Person Re-Identification
IEEE Access, 2022 The performance of cross-domain person re-identification has been greatly improved in recent years. However, there are still two problems in existing cross-domain person re-identification methods. First, most of them conduct domain adaptation on features
Jun Wang
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Person Re-identification Model Combining Attention and Batch Feature Erasure [PDF]
Jisuanji gongcheng, 2022 Aiming to make more comprehensive use of pedestrian features, this study proposes a person re-identification model combining Attention and Batch Feature Erasure Network(ABFE-Net) to solve the problem of reduced recognition accuracy caused by the partial ...
HAO Axiang, JIA Guojun
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Omnidirectional Feature Learning for Person Re-Identification
IEEE Access, 2019 Person re-identification (PReID) has received increasing attention due to it being an important role in intelligent surveillance. Many state-of-the-art PReID methods are part-based deep models.
Di Wu +7 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
core +1 more source
Deep Feature Ranking for Person Re-Identification
IEEE Access, 2019 Person re-identification plays a critical part in many surveillance applications. Due to complicated illumination environments and various viewpoints, it is still a challenging problem to extract robust features.
Jie Nie +4 more
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Multimodal person recognition for human-vehicle interaction [PDF]
, 2006 Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions.
Abut, Huseyin +9 more
core +1 more source
The Processing of Phi-features in Sentences with Third-person Pronoun: An ERP Study in Turkish
Dilbilim Araştırmaları Dergisi, 2023 The relationship between Person and Number features is often addressed in both theoretical and experimental studies. It is noteworthy that the discussion on how these features are processed has evolved over time towards how Person and Number features are
Mehmet AYGÜNEŞ
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