Insect dynamic behavior identification method based on deep learning and image technology

• Main Authors: DONG TIANYU, ZHAN WEI, HONG SHENGBING, MIN CHAO
• Format: Patent
• Language: Chinese; English
• Published: 24.08.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention relates to a behavior recognition method, in particular to an insect dynamic behavior recognition method based on deep learning and an image technology. The identification method comprises the following steps: 1) acquiring a data source video; 2) processing the image; 3) establishing an identification model; 4) extracting time and space features; 5) performing deep learning; and 6) identifying and classifying the dynamic behaviors of the insects. According to the identification method, the insect body is divided into the head region and the tail region, the ROIs are extracted respectively, and ROIs of the head region and the tail region are detected respectively, so that misjudgment caused by vibration interference of the current behavior of the insect on other parts of the body can be effectively avoided, and the accuracy can be effectively improved; meanwhile, after the key point recognition model and the neural network model are trained, the insect behavior generation result can be automatica