Technical Research on Moving Target Monitoring and Intelligent Tracking Algorithm Based on Machine Vision

Abstract

Machine vision is an important branch of the rapid development of modern artificial intelligence, and it is a key technology to convert the image information of monitoring targets into digital signals. However, due to the wide range of machine vision applications, this research focuses on its application in video surveillance. In the era of artificial intelligence, the detection and tracking of moving objects have always been a key issue in video surveillance. The simulation of human vision is realized by combining the relevant functions of the computer and the image acquisition device, which enables the computer to have the ability to recognize the surrounding environment through images. The intelligent video analysis technology can automatically analyze and extract the key useful information from the video source with the powerful data processing ability of the computer, so as to realize the computer’s “understanding” of the video. It allows the computer to “understand” what is shown in the video or what kind of “event” happened and provides a new method and reliable basis for accident detection and accident analysis. Therefore, after a brief introduction to machine vision, moving target monitoring methods, and intelligent tracking algorithms, this paper will focus on moving target monitoring and intelligent tracking strategies for video surveillance. In addition, this paper will focus on introducing the principle of intelligent tracking algorithm through formulas and compare the accuracy and success rate of target monitoring and intelligent tracking between the machine vision-based algorithm and other algorithms during the experiment. Finally, experiments show that the monitoring and tracking effect of machine vision combined with “cloud” is the best, and the overall average can reach 85.7%. Based on this, this paper fully confirms the feasibility of the moving target monitoring and intelligent tracking algorithm based on machine vision.

Research on detecting moving targets with an improved Kalman filter algorithm

“…Meanwhile, Doksy et al, "combine depth research learning with Yolov to realize visual moving object detection [21]. What's more, the research of Xu Pengfei et al, "reveals that the moving target monitoring and intelligent tracking algorithm in video surveillance can achieve target tracking recognition [22]. This paper presents a novel algorithm for identifying and tracking moving objects with better accuracy and real-time performance.…”

Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique

“…Roshchin [26] kept eye open the application in video surveillance for moving target by simulating human vision, computer functions, and the image acquisition device. Pengfei et al [27] made an effort to move object monitoring and intelligent tracking measurement for video supervision with algorithms through formulas and comparison between the accuracy and success rate, and experiment. Xing et al [28] researched and supplied a specific design method for the coalescence of two kinds of lenses with different features by optimizing operating distances and targeting surfaces, obeying rather strict requirements.…”

Target Detection in Video Images Using HOG-Based Cascade Classifier

“…Computer vision is a branch of research that enables machines to process, analyze, and interpret the content of digital images and videos in order to perceive visuals similarly to humans. It lets a computer recognize and detect objects in images, in other words [1,2]. Object detection is determining a possible location of region of interest (ROI) in input image or in real time video [3,4].…”