Abstract: Aiming at the problems of limited monitoring area and difficult target locating in video security surveillance system, a radar-guided video linkage monitoring model was established with the characteristics of wide radar monitoring range and freedom from optical conditions. On this basis, a target location algorithm and a multi-target selection algorithmm were proposed. Firstly, according to the target information detected by radar, the corresponding camera azimuth and pitch angle of a moving target in the system linkage model were automatically calculated so that the target could be accurately locked, monitored and tracked by camera in real-time. Then, with multiple targets appearing in the surveillance scene, the multi-target selecting algorithm was used for data weighted fusion of discrete degree of target, radial velocity of target and the distance between target and camera to select the target with the highest priority for intensive monitoring. The experimental results show that, the locating accuracy of the proposed target location algorithm for pedestrians and vehicles can reach 0.94 and 0.84 respectively, which can achieve accurate target location. Moreover, the proposed multi-target selection algorithm can effectively select the best monitoring target in complex environment, and has good robustness and real-time performance.

Key words: radar monitoring, video linkage surveillance model, target locating, multi-target selecting, data fusion

摘要： 针对视频安防监控系统中出现的监视区域有限、目标定位困难等问题，利用雷达监测范围广、不受光学条件影响的特性，建立了雷达引导的视频联动监控模型，并在此基础上提出了目标定位算法和多目标选择算法。首先，根据雷达检测到的目标信息，自动计算出运动目标在系统联动模型中对应的摄像机方位角和俯仰角，从而引导摄像机准确锁定目标并实时监控追踪。然后，当监控场景中出现多个目标时，采用多目标选择算法，将目标的离散程度、径向速度及其与摄像机之间的距离进行数据加权融合，选择出优先级别最高的目标进行重点监控。实验结果表明，所提目标定位算法对于行人与车辆的定位准确率分别达到0.94和0.84，能够实现目标的准确定位，多目标选择算法可在复杂环境中有效选择出最佳监控目标，具有良好的鲁棒性和实时性。

关键词: 雷达监测, 视频联动监控模型, 目标定位, 多目标选择, 数据融合