基于光测设备的多源融合目标跟踪算法分析OA

This paperPropose a multi-source fusion monitoring scheme using visible light sensor,infrared sensor equipment,using optical measurement equipment to capture the color,shape,texture,edge details and other information of the image frame sequence,using the Extended Kalman Filter(EKF)algorithm to make preprocessing,denoising of the pixel gray value of the target object,based on Otsu algorithm of Based on the Otsu algorithm,the dynamic target shape characteristics of the image,the visible light and infrared sensor tracking target sample location to compare,to get the closest position as the tracking results,thus improving the recognition accuracy of multi-source fusion tracking of targets under complex lighting or environmental conditions.