基于视频的静态场景与运动物体三维融合研究  

Research of Merging Three-dimensional Static Scene and Moving Objects Based on Video

作　　者：何坤金[1] 王淋[1] 刘建新 陈正鸣[1] 陈小中[1] 

机构地区：[1]河海大学物联网工程学院,江苏常州213022 [2]宿迁市普元软件科技有限公司,江苏宿迁223800

出　　处：《系统仿真学报》2016年第1期63-69,共7页Journal of System Simulation

基　　金：江苏省经信委项目(宿财工贸2014-3号);常州市工业支撑项目(CE20140008);中央高校基本科研业务费资助项目(BZX/13B101-33);江苏省普通高校研究生科研创新计划项目(KYZZ15_0152)

摘　　要：针对含有运动物体的场景在三维实时呈现方面存在的困难,提出一种基于视频的静态场景与运动物体快速三维构建与融合方法。建立静态场景的三维模型,并对运动物体进行分类,生产参数化模型库;基于视频检测识别运动物体并提取其基本特征信息和动态特征信息;根据所提取运动物体的基本特征信息,从物体参数化模型库中提取类型相符的模型并对其进行实例化;根据所提取运动物体的动态特征信息,实现三维静态场景与运动物体模型的融合,并使运动物体能够根据监控视频实时变化。实验以运河航道为静态场景,船舶为运动物体验证所提方法。Against the difficulty in three-dimensional real-time rendering of scene that contains moving objects, a video-based method in building and merging three-dimensional static scene and moving objects was proposed. According to the classification of moving objects, a three-dimensional static scene was established and a parameterized model base was produced. Based on the video, moving objects were detected and features（including basic features and dynamic features） were extracted. Based on basic features, corresponding type model in the parameterized model base was instantiated. Based on the dynamic features, the three-dimensional static scene and moving object models were merged and the moving objects could move according to the change of surveillance video. Experiment with the inland waterway as static scene, ships as moving objects verify the method.

关 键 词：参数化模型库 特征提取 参数化设计 模型融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]