VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network
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DOI: 10.1007/s11042-018-6270-4
Abstract: Vehicle re-identification aiming to match vehicle images captured by different cameras plays an important role in video surveillance for public security. In this paper, we solve Vehicle Re-identification with a Shortly and Densely connected convolutional… read more here.
Keywords: connected convolutional; vehicle; vrsdnet; vehicle identification ... See more keywords
Joint horizontal and vertical deep learning feature for vehicle re-identification
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DOI: 10.1007/s11432-018-9639-7
Abstract: Dear editor, Vehicle re-identification is a procedure in which a query image of a vehicle can be matched to vehicle images captured by different cameras in a data gallery. This procedure is extremely important for… read more here.
Keywords: vehicle; vertical deep; joint horizontal; vehicle identification ... See more keywords
Global attention-assisted representation learning for vehicle re-identification
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DOI: 10.1007/s11760-021-02021-1
Abstract: Like pedestrian re-identification, vehicle re-identification (re-id) is an important part of building smart cities, and its purpose is to identify the same vehicle in vehicle images captured by multiple cameras. Vehicle re-id is more challenging… read more here.
Keywords: attention assisted; vehicle; global attention; vehicle identification ... See more keywords
Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification
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DOI: 10.1016/j.neucom.2020.06.148
Abstract: With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehicle in large datasets from non-overlapping cameras should be highlighted, which… read more here.
Keywords: part; aware model; vehicle; part aware ... See more keywords
Multi-attention deep reinforcement learning and re-ranking for vehicle re-identification
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DOI: 10.1016/j.neucom.2020.07.020
Abstract: Abstract For solving the vehicle Re-identification (Re-ID) task, we need to focus our attention on the details with arbitrary size in the image, and it’s tough to locate these details accurately. In this paper, we… read more here.
Keywords: vehicle; reinforcement learning; attention; vehicle identification ... See more keywords
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification
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DOI: 10.1016/j.neucom.2021.07.082
Abstract: Vehicle re-identification is an important computer vision task where the objective is to identify a specific vehicle among a set of vehicles seen at various viewpoints. Recent methods based on deep learning utilize a global… read more here.
Keywords: vehicle; vehicle identification; local graph; graph ... See more keywords
Multi-Label-Based Similarity Learning for Vehicle Re-Identification
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DOI: 10.1109/access.2019.2948965
Abstract: The massive attention to the surveillance video-based analysis makes the vehicle re-identification one of the current hot areas of interest to study. Extracting discriminative visual representations for vehicle re-identification is a challenging task due to… read more here.
Keywords: vehicle; multi label; vehicle identification; model ... See more keywords
Unifying Person and Vehicle Re-Identification
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DOI: 10.1109/access.2020.3004092
Abstract: 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… read more here.
Keywords: person; person vehicle; data sets; vehicle identification ... See more keywords
Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning
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DOI: 10.1109/access.2022.3150411
Abstract: Vehicle Re-identification (Re-ID) refers to finding the same vehicle shot by other cameras from a given vehicle image library, which can also be regarded as a sub-problem of image retrieval. It plays an important role… read more here.
Keywords: vehicle; relational attention; global relational; attention ... See more keywords
Attention Mask-Based Network With Simple Color Annotation for UAV Vehicle Re-Identification
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DOI: 10.1109/lgrs.2021.3092369
Abstract: Vehicle re-identification (VeID) has attracted a growing research interest in recent years, and excellent performance has been shown with fixed traffic cameras. However, vehicle ReID in aerial images taken by unmanned aerial vehicles (UAVs), possessing… read more here.
Keywords: annotation; color; vehicle identification; network ... See more keywords
Multi-View Spatial Attention Embedding for Vehicle Re-Identification
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DOI: 10.1109/tcsvt.2020.2980283
Abstract: Vehicle Re-Identification (Re-ID) is a challenging vision task mainly because the appearance of a vehicle varies dramatically under different viewpoints. Moreover, different vehicles with the same model and color commonly show similar appearance, thus are… read more here.
Keywords: vehicle; vehicle identification; feature; multi view ... See more keywords