| 基于象素级别和帧级别的背景更新算法研究及实现验证 |
| |
| 引用本文： | 郑芹.基于象素级别和帧级别的背景更新算法研究及实现验证[J].嘉应学院学报,2011,29(11):26-31. |
| |
| 作者姓名： | 郑芹 |
| |
| 作者单位： | 福建信息职业技术学院,福州,350003 |
| |
| 摘 要： | 讨论在复杂动态环境中基于象素级别和帧级别的背景更新算法及其实现验证.该算法可以对多种复杂的背景进行累积更新,通过实验验证表明该算法具有计算量小、运行速度快等优点;同时可以克服许多恶劣条件,包括虚影、摄像机的晃动和急剧的光线变化等.而且该算法可以用于实时监控跟踪领域,有效提高实时监控跟踪效率,也可以用于其他计算机视觉和视频分析应用领域.
|
| 关 键 词： | 背景更新 象素级别 帧级别 运动检测 |
Background Updating Based on Pixel Level and Frame Level Algorithm and Implementation Verification |
| |
| ZHENG Qin.Background Updating Based on Pixel Level and Frame Level Algorithm and Implementation Verification[J].Journal of Jiaying University,2011,29(11):26-31. |
| |
| Authors: | ZHENG Qin |
| |
| Institution: | ZHENG Qin ( Fujian Information and Technology College ,Fuzhou 350003, China) |
| |
| Abstract: | This article discusses the complex and dynamic environment based on the pixel level and frame level background updating algorithm and its implementation verification. The algorithm can be a variety of complex back- ground cumulative update. Through experimental verification, it shows that the algorithm has less computation, running speed, etco and can overcome many adverse conditions, including virtual shadow, camera shake and dras- tic changes in light. The algorithm can be used for real - time monitoring to track field, track effectively to improve the efficiency of real - time monitoring. And it can also be used for other computer vision and video analysis applications. |
| |
| Keywords: | background update pixel level frame level motion detection |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
