Results 61 to 70 of about 6,095,709 (227)
A cross-view intelligent person search method based on multi-feature constraints
International Journal of Digital EarthPerson searches aim to simultaneously locate and identify persons to be queried from different scenes, which is crucial for disaster emergency management and public safety. However, the high variability of environmental features in different video scenes,
Jun Zhu +5 more
semanticscholar +1 more source
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
, 2017 Existing person re-identification (re-id) methods rely mostly on either localised or global feature representation alone. This ignores their joint benefit and mutual complementary effects.
Gong, Shaogang, Li, Wei, Zhu, Xiatian
core +1 more source
Ensemble Learning-Based Person Re-identification with Multiple Feature Representations
Complexity, 2018 As an important application in video surveillance, person reidentification enables automatic tracking of a pedestrian through different disjointed camera views.
Yun Yang +3 more
doaj +1 more source
Minimizing Maximum Feature Space Deviation for Visible-Infrared Person Re-Identification
Applied Sciences, 2022 Visible-infrared person re-identification (VIPR) has great potential for intelligent video surveillance systems at night, but it is challenging due to the huge modal gap between visible and infrared modalities.
Zhixiong Wu, Tingxi Wen
doaj +1 more source
Global and Part Feature Fusion for Cross-Modality Person Re-Identification
IEEE Access, 2022 Visible-Infrared person re-identification (VI Re-ID) is a challenging but practical task that aims at matching pedestrian images between the visible(daytime) modality and the infrared(nighttime) modality, playing an important role in criminal ...
Xianju Wang, Ronald S. Cordova
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An Enhanced Deep Feature Representation for Person Re-identification
, 2016 Feature representation and metric learning are two critical components in person re-identification models. In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural ...
Chen, Ying-Cong +5 more
core +1 more source
Robust Depth-based Person Re-identification
, 2017 Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. However, when people appeared in extreme illumination or changed clothes, the RGB appearance-
Lai, Jianhuang +2 more
core +1 more source
Hierarchical Attentive Feature Aggregation for Person Re-Identification
IEEE AccessRecent efforts on person re-identification have shown promising results by learning discriminative features via the multi-branch network. To further boost feature discrimination, attention mechanism has also been extensively employed.
Husheng Dong, Ping Lu
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FEATURES OF ADDICTIVE PERSONALITY
Bulletin of Taras Shevchenko National University of Kyiv. Series “Psychology”, 2019 We surveyed 50 people between the ages of 18 and 25, most of respondents are college students. We used the following assessment tools: SMOL (abbreviated adaptation of MMPI), Heim's test for coping strategies, Mendelevich's methodic, Michigan Alcohol Test (MAST), Urgent Dependence Questionnaire in Shibko's adaptation.
Eduard Krainikov +2 more
openaire +2 more sources
STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
, 2018 In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing methods, which simply compute representations of video clips using frame-level ...
Fu, Yang +3 more
core +1 more source