원문정보
초록
영어
Target tracking algorithm is a key technical problem in the computer version field, and the existing algorithms are mainly based on the stationary camera platform. Therefore, a real-time tracking algorithm for moving target based on dynamic monitoring video is proposed in this article. Firstly, the feature points are screened according to the influence of the moving target on the light streams; secondly, the light stream method is adopted to estimate the global motion of the camera; finally, the motion equation of the particle filter is modified according to the global motion estimation result and meanwhile the color histogram is selected as the characteristic model of the target, thus to track the moving target. The experiment result shows that the particle filter algorithm can rapidly and accurately track the moving target during camera motion process to meet the real-time requirement, and has excellent robustness.
목차
1. Introduction
2. Global Motion Estimation
2.1. Feature Point Selection
2.2. Feature Point Screening and Translational Component Estimation of Camera
2.3. Estimation of Rotational Component of Camera
3. Tracking Algorithm for Moving Target Based on Particle Filter
3.1. Problem Modeling
3.2. Quadratic Regression Motion Model
3.3. Color Histogram Distribution Model
4. Experiment Result and Analysis
5. Conclusion
References