Multi-Object Tracking on SWIR Images for City Surveillance in an Edge-Computing Environment

Multi-Object Tracking on SWIR Images for City Surveillance in an Edge-Computing Environment

Although Short-Wave Infrared (SWIR) sensors have advantages in terms of robustness in bad weather and low-light conditions, the SWIR images have not been well studied for automated object detection and tracking systems. The majority of previous multi-object tracking studies have focused on pedestria...

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Bibliographic Details
Main Authors: Jihun Park, Jinseok Hong, Wooil Shim, Dae-Jin Jung
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
deep learning
object detection
short-wave infrared
multi-object tracking
edge computing
neural network quantization
Online Access:https://www.mdpi.com/1424-8220/23/14/6373

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https://www.mdpi.com/1424-8220/23/14/6373

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