Abstract:
Abstract:
The analysis of fisherman exploitation in Taiwan’s distant water fishing (DWF) industry is a critical undertaking to address and combat labor abuses within this sector. DWF involves fishing activities conducted in waters beyond Taiwan’s territorial limits, and it is crucial to ensure fair and ethical treatment of the fishermen involved. The analysis of fisherman exploitation entails a comprehensive examination of various factors contributing to labor abuses. This includes investigating working conditions, working hours, payment practices, living conditions aboard fishing vessels, and overall treatment of the fishermen. Evaluating whether these practices comply with local and international labor standards, human rights principles, and relevant regulations is essential. Human action recognition (HAR) involves the use of computer vision algorithms to automatically identify and classify actions being performed by humans in videos or images. HAR technology can analyze footage from DWF vessels and identify actions indicating labor exploitation or abuse. It is essential to address the issue of exploitation and abuse in Taiwan’s DWF industry [1] , [2] . Lewis et al. [16] explored using “AI” and face recognition as both a speech act and a technological tool for monitoring workers or intimidating migrants and protesters. While this concept has been implemented in various systems, our primary focus is developing a system to detect and address long work-hour exploitation.
