2022 International Conference on Computational Science and Computational Intelligence (CSCI)
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Abstract

Investigations in recent years have revealed alarming incidents of human rights violations in the distant water fishing industries in Taiwan. Although the Taiwanese government recently changed fundamental rules to protect migrant fishermen, progress has been insufficient. The government and fishing vessel owners continue to fail to protect the human rights of migrant fishermen working in Taiwan. Taiwan's government needs smart observers for the distant water fishing industry to detect whether the fishermen are over-working and forced to work high-intensity work with a low salary. Developing a smart observer for distant water fishing is challenging because the videos are captured at night and in a volatile environment. The deep-learning-based tracking of humans also becomes quite challenging due to the multiple occlusions in the working areas, such as fishing equipment and fish processing tools. We proposed a statistical assessment method to check whether the fisherman is overworking. We have implemented the labor intensity assessment method and applied distance correlation to calculate the work intensity of a fisherman. Experimental results show that the statistical assessment method gives a more reasonable prediction than the counting assessment method. The labor intensity assessment method is suitable for differentiating fishermen's low-intensity and high-intensity work.
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