SENSITIVE DETECTION OF FISH FEEDING INTENSITY BY USING SOUND AND IMAGE FEATURES OF FEEDING PROCESS
Accurate assessment of fish appetite is of great significance for guiding feeding and production practice.However,most of the previous methods for assessment of fish feeding intensity have problems of high computational complexity and low precision.To achieve an automatic objective evaluation of fish feeding intensity,we proposed an improved multi-features fusion algorithm.First,a multi-track audio recorder was used to store the feeding audio.Due to the positive correlation between feeding audio and feeding intensity,the amplitude of the audio was as one of the parameters to evaluate feeding intensity.Secondly,a depth camera named Azure Kinect was selected to analyze the feeding dynamics of fish.The sensor based on 3D single point imaging technology,which can provide geometric information of 3D environment with high-frame rate.The whole feeding process was recorded in real time by using depth image and near infrared image,and 3D spatial information contained in the depth map was used to count the number of fish at the surface of water.During fish preying at water surface,the pixel value of the depth map fluctuates strongly.The feeding intensity of fish was quantified by continuously calculating the difference of depth map.Thirdly,the intensity of water level fluctuation during feeding was measured synchronously by using an IR camera,which is included in Azure Kinect system.Fluctuation of water caused by feeding changes the condition of specular reflection,the position of high brightness pixels produced by the reflection of near-infrared light source changes significantly in a near-infrared image.Finally,by combining the characteristic information of feeding dynamics,water level fluctuation,and feeding audio,the evaluation accuracy of fish feeding intensity reached 97％.This study adopted new imaging techniques to achieve the best performance in analysis speed and accuracy,and provided a practical method in strong robustness and fast analysis speed for precise feeding.
fish feeding intensitynear infrared imagedepth mapfeeding audiofeature weighted fusion
万方数据
维普
