SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model

SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model

Pedestrian tracking is a challenging task in the area of visual object tracking research and it is a vital component of various vision-based applications such as surveillance systems, human-following robots, and autonomous vehicles. In this paper, we proposed a single pedestrian tracking (SPT) frame...

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Bibliographic Details
Main Authors: Sumaira Manzoor, Ye-Chan An, Gun-Gyo In, Yueyuan Zhang, Sangmin Kim, Tae-Yong Kuc
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
metric learning
person re-identification
Siamese network
single object tracking
convolutional neural network
YOLO
Online Access:https://www.mdpi.com/1424-8220/23/10/4906

Internet

https://www.mdpi.com/1424-8220/23/10/4906

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