Smart City Gnosys

Smart city article details

Title Attribute And State Guided Structural Embedding Network For Vehicle Re-Identification
ID_Doc 11062
Authors Li H.; Li C.; Zheng A.; Tang J.; Luo B.
Year 2022
Published IEEE Transactions on Image Processing, 31
DOI http://dx.doi.org/10.1109/TIP.2022.3202370
Abstract Vehicle re-identification (Re-ID) is a crucial task in smart city and intelligent transportation, aiming to match vehicle images across non-overlapping surveillance camera scenarios. However, the images of different vehicles may have small visual discrepancies when they have the same/similar attributes, e.g., the same/similar color, type, and manufacturer. Meanwhile, the images from a vehicle may have large visual discrepancies with different states, e.g., different camera views, vehicle viewpoints, and capture time. In this paper, we propose an attribute and state guided structural embedding network (ASSEN) to achieve discriminative feature learning by attribute-based enhancement and state-based weakening for vehicle Re-ID. First, we propose an attribute-based enhancement and expanding module to enhance the discrimination of vehicle features through identity-related attribute information, and we design an attribute-based expanding loss to increase the feature gap between different vehicles. Second, we design a state-based weakening and shrinking module, which not only weakens the state information that interferes with identification but also reduces the intra-class feature gap by a state-based shrinking loss. Third, we propose a global structural embedding module that exploits the attribute information and state information to explore hierarchical relationships between vehicle features, then we use these relationships for feature embedding to learn more robust vehicle features. Extensive experiments on benchmark datasets VeRi-776, VehicleID, and VERI-Wild demonstrate the superior performance and generalization of the proposed method against state-of-the-art vehicle Re-ID methods. The code is available at https://github.com/ttaalle/fast_assen. © 1992-2012 IEEE.
Author Keywords attribute-based enhancement; global structural embedding; state-based weakening; Vehicle re-identification


Similar Articles


Id Similarity Authors Title Published
11072 View0.93Li H.; Lin X.; Zheng A.; Li C.; Luo B.; He R.; Hussain A.Attributes Guided Feature Learning For Vehicle Re-IdentificationIEEE Transactions on Emerging Topics in Computational Intelligence, 6, 5 (2022)
28061 View0.909Song L.; Zhou X.; Chen Y.Global Attention-Assisted Representation Learning For Vehicle Re-IdentificationSignal, Image and Video Processing, 16, 3 (2022)
60943 View0.903Kuma R.; Weill E.; Aghdasi F.; Sriram P.Vehicle Re-Identification: An Efficient Baseline Using Triplet EmbeddingProceedings of the International Joint Conference on Neural Networks, 2019-July (2019)
60939 View0.9Sun X.; Chen Y.; Duan Y.; Wang Y.; Zhang J.; Su B.; Li L.Vehicle Re-Identification Method Based On Multi-Attribute Dense Linking Network Combined With Distance Control ModuleFrontiers in Neurorobotics, 17 (2023)
60940 View0.89Kedkar N.; Karthik Reddy K.; Arya H.; Sunil C.K.; Patil N.Vehicle Re-Identification Using Convolutional Neural NetworksLecture Notes in Networks and Systems, 660 LNNS (2023)
11068 View0.889Zhuge C.; Peng Y.; Li Y.; Ai J.; Chen J.Attribute-Guided Feature Extraction And Augmentation Robust Learning For Vehicle Re-IdentificationIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020-June (2020)
46471 View0.887Xu Y.; Guo X.; Rong L.Review Of Research On Vehicle Re-Identification Methods With Unsupervised LearningJournal of Frontiers of Computer Science and Technology, 17, 5 (2023)
60777 View0.885Qian Y.; Barthelemy J.; Iqbal U.; Perez P.V2Reid: Vision-Outlooker-Based Vehicle Re-IdentificationSensors, 22, 22 (2022)
21185 View0.875Dilshad N.; Song J.Dual-Stream Siamese Network For Vehicle Re-Identification Via Dilated Convolutional LayersProceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 (2021)
58801 View0.874Lian J.; Wang D.; Zhu S.; Wu Y.; Li C.Transformer-Based Attention Network For Vehicle Re-IdentificationElectronics (Switzerland), 11, 7 (2022)