Video tracking based biological early warning system achieved a great progress with advanced computer vision and machine\nlearning methods. Ability of video tracking of multiple biological organisms has been largely improved in recent years. Video\nbased behavioral monitoring has become a common tool for acquiring quantified behavioral data for aquatic risk assessment.\nInvestigation of behavioral responses under chemical and environmental stress has been boosted by rapidly developed machine\nlearning and artificial intelligence. In this paper, we introduce the fundamental of video tracking and present the pioneer works\nin precise tracking of a group of individuals in 2D and 3D space. Technical and practical issues suffered in video tracking are\nexplained. Subsequently, the toxic analysis based on fish behavioral data is summarized. Frequently used computational methods\nand machine learning are explained with their applications in aquatic toxicity detection and abnormal pattern analysis. Finally,\nadvantages of recent developed deep learning approach in toxic prediction are presented.
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