Results 51 to 60 of about 745,987 (299)
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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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
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Xanthomonas euvesicatoria Causes Bacterial Spot Disease on Pepper Plant in Korea
The Plant Pathology Journal, 2016 In 2004, bacterial spot-causing xanthomonads (BSX) were reclassified into 4 species—Xanthomonas euvesicatoria, X. vesicatoria, X. perforans, and X. gardneri. Bacterial spot disease on pepper plant in Korea is known to be caused by both X.
Min-Seong Kyeon +5 more
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A Comparison of Approaches for Person Re-identification
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014 Advanced surveillance applications often require the ability to re-identify an individual. In the typical context of a sensor network, this means to recognize a subject acquired at one location among a feasible set of candidates acquired at another locations and/or over time. Usually this does not necessarily imply to know the identity, and actually it
RICCIO, Daniel +3 more
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Relation Network for Person Re-Identification
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Person re-identification (reID) aims at retrieving an image of the person of interest from a set of images typically captured by multiple cameras. Recent reID methods have shown that exploiting local features describing body parts, together with a global feature of a person image itself, gives robust feature representations, even in the case of missing
Bumsub Ham, Hyunjong Park
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Support Neighbor Loss for Person Re-Identification
, 2018 Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming +4 more
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
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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Comparative Analysis of Re-Identification Methods of Multi-Criteria Decision Analysis Models
IEEE AccessOne of the major hurdles in Multi-Criteria Decision Analysis (MCDA) is the re-identification of pre-existing decision models. Due to factors like limited access to domain experts, some models become impractical, leading to the need for methods that aid ...
Bartlomiej Kizielewicz +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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