Fish Movement Behavior Characteristic Parameter Extraction Based on Visual Perception
CHENG Shu-hong,LI Lei-hua,LIU Jie,QIAN Lei
Institute of Electrical Engineering, Yanshan University, Key Lab of Measurement Technology and Instrumentation Hebei Province, Qinhuangdao, Hebei 066004, China
Abstract：Against how to use biomonitoring technology to improve the recognition rate of abnormal water quality, the evaluation factors of biological water quality is studied and an improved algorithm of fish center is proposed. On the basis of this algorithm, it introduced new behavior characters of fish movement, such as fish dispersion, curvature and vicinity feature, carried out pretreatment for these characteristic parameters, established databases for evaluation factors of abnormal water quality and took the evaluation factors as inputs of support vector machine (SVM) to identify abnormal water quality. The results of experiment show that by introducing characteristic parameters for evaluation of abnormal water quality, its identification effect is better than other methods and the recognition rate is over 92%.
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2017, Vol. 38 
