Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras

Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras

The increase in security threats and a huge demand for smart transportation applications for vehicle identification and tracking with multiple non-overlapping cameras have gained a lot of attention. Moreover, extracting meaningful and semantic vehicle information has become an adventurous task, with...

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Detalhes bibliográficos
Principais autores: Lesole Kalake, Wanggen Wan, Yanqiu Dong
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-11-01
coleção:Sensors
Assuntos:
vehicle tracking
re-identification
three stream
deep convolutional neural network
non-overlapping multiple cameras
Acesso em linha:https://www.mdpi.com/1424-8220/22/23/9274

Internet

https://www.mdpi.com/1424-8220/22/23/9274

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