Online Action Detection in Surveillance Scenarios: A Comprehensive Review and Comparative Study of State-of-the-Art Multi-Object Tracking Methods

Online action detection in surveillance scenarios presents considerable challenges, particularly due to the dynamically changing environments and real-time processing requirements. Within this context, Multi-Object Tracking (MOT) serves as a critical component of the online action detection pipeline...

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Bibliographic Details
Main Authors: Jumabek Alikhanov, Hakil Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10173520/