A Moving Target Tracking Technology for Intelligent Police Based on Kalman Filter Method

Video image analysis mainly involves the analysis and processing of moving image sequences, which usually involves several processes such as motion detection, object classification, object tracking, and behavior understanding and description. Among them, moving object detection and tracking are at the bottom level of the entire visual monitoring system, and are the most basic methods in video image analysis. They are the foundation for various subsequent advanced processing. This article proposes a target detection and tracking algorithm based on Kalman filtering, which can effectively detect and track moving objects, providing a more efficient technical means for detecting and tracking target suspects in the era of big data.