Aquatic Toxic Analysis by Monitoring Fish Behavior Using Computer Vision: A Recent Progress

• Published in: Journal of toxicology Vol. 2018; no. 2018; pp. 1 - 11
• Main Authors: Xia, Chunlei, Liu, Yuedan, Liu, Zuoyi, Fu, Longwen, Liu, Hui, Chen, L.
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Animal behavior; Aquatic ecosystems; Artificial intelligence; Behavior; Computer applications; Computer vision; Data acquisition; Early warning systems; Ecological risk assessment; Entropy; Environmental stress; Fish behavior; Informatics; Learning algorithms; Machine learning; Machine vision; Pattern analysis; Review; Risk assessment; Risk taking; Sensors; Time series; Toxicity; Toxicology; Tracking; Water quality; Zebrafish

Video tracking based biological early warning system achieved a great progress with advanced computer vision and machine learning methods. Ability of video tracking of multiple biological organisms has been largely improved in recent years. Video based behavioral monitoring has become a common tool...