Vehicle Re-identification has evolved in recent times. Initially, clicking a single picture of a vehicle or a car was done manually, inviting the workforce to complete a specified task. With the growth in technology, the method and techniques in Vehicle Re-Id also have advanced, transforming from manual to automation. Surveillance cameras were used to capture vehicle images and retrieve information about a specific vehicle. Re-trieving and identifying the images of the vehicle is done using computer vision, the most important branch of computer science and artificial intelligence. Earlier, Vehicle Re-Id implemented a single algorithm on a dataset, making the corresponding result insufficient to determine its effects. This paper proposes a brief survey of multi-modal techniques and methods for vehicle re-identification and fingerprinting. The different attributes of the vehicle are considered for ANPR (Automatic number plate recognition) for identifying the number plate, focusing on the vehicle's details or features as the initial phase of identification, and then the vehicle number plate.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A study of CNN models for re-identification of vehicles


    Contributors:


    Publication date :

    2023-04-05


    Size :

    3051840 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Identification of linear handling models for road vehicles

    Arιkan, K.B. / Ünlüsoy, Y.S. / Korkmaz, İ. et al. | Taylor & Francis Verlag | 2008


    Identification of linear handling models for road vehicles

    Arikan,K.B. / Uenluesoy,Y.S. / Korkmaz,I. et al. | Automotive engineering | 2008



    Identification of linear handling models for road vehicles

    Arikan, K.B. / Ünlüsoy, Y.S. / Korkmaz, I. et al. | Tema Archive | 2008


    Identification and Verification of Attack-Tree Threat Models in Connected Vehicles

    Ebrahimi, Masoud / Striessnig, Christoph / Castella Triginer, Joaquim et al. | British Library Conference Proceedings | 2022