监控视频动态目标的空间定位方法

doi:10.13474/j.cnki.11-2246.2022.0237

测绘通报 ›› 2022, Vol. 0 ›› Issue (8): 87-92.doi: 10.13474/j.cnki.11-2246.2022.0237

监控视频动态目标的空间定位方法

韩世静^1,2, 苗书锋³, 郝向阳¹, 陈润泽¹

1. 信息工程大学地理空间信息学院, 河南郑州 450001;
2. 南宁师范大学自然资源与测绘学院, 广西南宁 530001;
3. 武汉科岛地理信息工程有限公司, 湖北武汉 430081

收稿日期:2021-12-08 修回日期:2022-06-15 发布日期:2022-09-01
通讯作者: 郝向阳。E-mail:xiangyanghao2004@163.com
作者简介:韩世静(1984-),女,博士生,讲师,主要从事导航定位与位置服务、计算机视觉研究。E-mail:hsjmsf@163.com
基金资助:
校科研团队发展基金(f4211)

Spatial location method of dynamic targets in surveillance videos

HAN Shijing^1,2, MIAO Shufeng³, HAO Xiangyang¹, CHEN Runze¹

1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China;
2. School of Natural Resources and Surveying, Nanning Normal University, Nanning 530001, China;
3. Wuhan Kedao Geographical Information Engineering Co., Ltd., Wuhan 430081, China

Received:2021-12-08 Revised:2022-06-15 Published:2022-09-01

摘要/Abstract

摘要： 针对监控视频动态目标的空间定位问题,本文在考虑相机畸变的前提下,对监控相机、目标像素坐标和地理场景之间的映射关系进行了研究,提出了基于数字表面模型(DSM)和基于平面约束的目标定位算法。首先,完成相机的标定,确定相机的成像模型;然后,提取畸变校正后的目标像素坐标,并通过目标定位算法计算目标的三维地理坐标;最后,进行了定位精度评定,并分析了两种定位算法的应用特点。本文的定位算法将以像素坐标定位的目标数据解析为以三维坐标定位的空间地理信息,为多摄像头的目标跟踪提供了统一的地理参考框架。

关键词: 监控视频, 动态目标, 三维地理信息, 空间定位, 数字表面模型

Abstract: Aiming at the problem of dynamic targets' location in surveillance videos, this paper studies the mapping relationship among surveillance cameras, target pixel coordinates and geographical scenes on the premise of considering the camera distortion, and proposes the spatial location methods based on the digital surface model (DSM) and the plane constraint. Firstly, the camera calibration is completed and the imaging model of the camera is determined. Secondly, the pixel coordinates of the targets after distortion correction are extracted, and the 3D geographic coordinates of the targets are calculated by the two spatial location methods. Finally, the positioning accuracy is evaluated, and the application characteristics of the two spatial location methods are analyzed. The methods proposed in this paper parse the target data located by pixel coordinates into the spatial geographic information located by 3D coordinates, which provides a unified geographic reference framework for multi-camera target tracking.

Key words: surveillance video, dynamic target, 3D geographic information, spatial localization, digital surface model

中图分类号:

韩世静, 苗书锋, 郝向阳, 陈润泽. 监控视频动态目标的空间定位方法[J]. 测绘通报, 2022, 0(8): 87-92.

HAN Shijing, MIAO Shufeng, HAO Xiangyang, CHEN Runze. Spatial location method of dynamic targets in surveillance videos[J]. Bulletin of Surveying and Mapping, 2022, 0(8): 87-92.

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监控视频动态目标的空间定位方法

Spatial location method of dynamic targets in surveillance videos

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