Algortihm for Daphnia Motion Detection in Toxicological Studies

Nowadays, there exist a growing concern regarding the pollution of our planet. Diverse works have been developed in the aquatic environments because of the importance of water for the human life. One way to make a toxicological study of water is through bio-sensors, like the Daphnia, a crustacean sensible to a large variety of substances. Behavior changes of the Daphnia can be related to toxic substance in the water. This work presents the design of an algorithm to detect Daphnia motion. The objective of their algorithm is to provide information such that motion features computation can be performed in a posterior analysis. The proposed algorithm achieved a 96.2% in the FScore metric evaluating 150 samples of 5 videos of one minute each.